WO1997038488A1 - Method for automatically adjusting audio response for improved intelligibility - Google Patents

Method for automatically adjusting audio response for improved intelligibility Download PDF

Info

Publication number
WO1997038488A1
WO1997038488A1 PCT/US1997/005516 US9705516W WO9738488A1 WO 1997038488 A1 WO1997038488 A1 WO 1997038488A1 US 9705516 W US9705516 W US 9705516W WO 9738488 A1 WO9738488 A1 WO 9738488A1
Authority
WO
WIPO (PCT)
Prior art keywords
audio
ambient noise
noise level
audio response
parameters
Prior art date
Application number
PCT/US1997/005516
Other languages
French (fr)
Inventor
Gerald M. Cooper
Original Assignee
Ericsson Inc.
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Ericsson Inc. filed Critical Ericsson Inc.
Priority to EP97917831A priority Critical patent/EP0891652B1/en
Priority to PL97329194A priority patent/PL182745B1/en
Priority to AU26059/97A priority patent/AU709329B2/en
Priority to DE69719739T priority patent/DE69719739D1/en
Priority to JP53631397A priority patent/JP4057062B2/en
Priority to BR9708516A priority patent/BR9708516A/en
Publication of WO1997038488A1 publication Critical patent/WO1997038488A1/en
Priority to HK99104756A priority patent/HK1019669A1/en

Links

Classifications

    • HELECTRICITY
    • H03ELECTRONIC CIRCUITRY
    • H03GCONTROL OF AMPLIFICATION
    • H03G9/00Combinations of two or more types of control, e.g. gain control and tone control
    • H03G9/005Combinations of two or more types of control, e.g. gain control and tone control of digital or coded signals
    • HELECTRICITY
    • H03ELECTRONIC CIRCUITRY
    • H03GCONTROL OF AMPLIFICATION
    • H03G3/00Gain control in amplifiers or frequency changers without distortion of the input signal
    • H03G3/20Automatic control
    • H03G3/30Automatic control in amplifiers having semiconductor devices
    • H03G3/32Automatic control in amplifiers having semiconductor devices the control being dependent upon ambient noise level or sound level
    • HELECTRICITY
    • H03ELECTRONIC CIRCUITRY
    • H03GCONTROL OF AMPLIFICATION
    • H03G9/00Combinations of two or more types of control, e.g. gain control and tone control
    • H03G9/02Combinations of two or more types of control, e.g. gain control and tone control in untuned amplifiers
    • H03G9/12Combinations of two or more types of control, e.g. gain control and tone control in untuned amplifiers having semiconductor devices
    • H03G9/14Combinations of two or more types of control, e.g. gain control and tone control in untuned amplifiers having semiconductor devices for gain control and tone control

Definitions

  • the present invention relates generally to radio receivers and, more particularly, to an apparatus and method for dynamically altering the audio response of a radio receiver to improve intelligibility of received speech.
  • Naturalness conceptually refers to the natural frequencies of generated sound.
  • a "natural” audio response includes no enhancement of any frequencies so that the outputted signal response more closely corresponds to the input signal.
  • a basic concept of the invention is to increase the relative gain of the higher audio frequencies at the expense of low frequency response to improve intelligibility when there is high ambient noise.
  • the decision on when to boost the high frequency gain can be based on sampled ambient noise or on the user's choice of received volume setting. (In the latter case, a high setting would be taken as an indicator that ambient noise is also high.) Under high ambient noise levels, some "naturalness" is traded for the higher intelligibility provided by increased high frequency gain.
  • Step (b) may be practiced by building an audio response message for a digital signal processor (DSP) or by modifying a response of a dedicated filter circuit.
  • DSP digital signal processor
  • step (a) may be practiced by detecting a volume knob position or by sampling the ambient noise level using a microphone input.
  • step (b) is preferably practiced by accessing an array of audio parameters and selecting parameters corresponding to the volume knob position or the sampled ambient noise level, respectively.
  • the method may further include dividing a receive audio passband into at least low frequency and high frequency sub bands to define an array of audio parameters corresponding to each volume knob position or a range of ambient noise levels.
  • step (b) is preferably practiced by accessing the array of audio parameters and selecting parameters corresponding to the volume knob position or sampled ambient noise level.
  • Step (c) may be practiced by (d) adjusting a gain of high audio frequencies relative to low audio frequencies, and when the ambient noise level increases, step (d) is preferably practiced by increasing the gain of the high audio frequencies relative to the low audio frequencies.
  • the method may further include sending the audio response message to a DSP, wherein step (c) is carried out by the DSP.
  • the method may include, also prior to step (c), extracting audio response parameters from the audio response message and substituting the audio response parameters into a DSP filter routine.
  • another method of dynamically altering an audio response of a radio receiver includes (a) determining an ambient noise level; and (b) adjusting a gain of high audio frequencies relative to low audio frequencies in accordance with the ambient noise level. In this regard, when the ambient noise level increases, step (b) is practiced by increasing the gain of the high audio frequencies relative to the low audio frequencies.
  • an apparatus for dynamically altering an audio response of a radio receiver which carries out the method according to the invention.
  • the apparatus includes structure for determining an ambient noise level; a controller that builds an audio response message in accordance with the ambient noise level; and a digital signal processor (DSP) that adjusts the audio response of the radio receiver in accordance with the audio response message.
  • DSP digital signal processor
  • the apparatus includes structure for determining an ambient noise level; and structure for adjusting a gain of high audio frequencies relative to low audio frequencies in accordance with the ambient noise level.
  • the adjusting structure preferably increases the gain of the high audio frequencies relative to the low audio frequencies when the ambient noise level increases.
  • FIGURE 1 is a block diagram showing the hardware configuration of a portable radio
  • FIGURE 2 is a flow chart of the control microprocessor implementation according to the invention.
  • FIGURE 3 is a graph illustrating electronic communication concepts according to the present invention.
  • FIGURE 4 is a flow chart of the digital signal processor (DSP) implementation according to the invention.
  • DSP digital signal processor
  • FIGURE 1 is a block diagram showing the hardware configuration of a portable radio such as the Ericsson Prism (HP) portable radio manufactured and sold by Ericsson, Inc. of Lynchburg, Virginia.
  • a portable radio such as the Ericsson Prism (HP) portable radio manufactured and sold by Ericsson, Inc. of Lynchburg, Virginia.
  • HP Ericsson Prism
  • FIGURE 1 is merely one example of a hardware configuration that is compatible with the features of the present invention.
  • the portable radio 10 includes a microprocessor 12, which serves as the primary controller for the radio.
  • the microprocessor 12 monitors inputs provided from the user control inputs 14.
  • the user control inputs 14 encompasses user controls such as PTT, volume control and the channel selector.
  • An EEPROM 16 holds infor iation that personalizes the product to the user's needs. This information can include the operating frequencies, group ID's, operator preferences and the like.
  • a flash memory 18 also communicates with the microprocessor 12 and stores program information for the microprocessor and personality i ⁇ formation similar to that held in the EEPROM.
  • the flash memory may also contain operational software to be downloaded to the digital signal processor (DSP) 20 (described below).
  • DSP digital signal processor
  • the display 22 is typically an LCD indicator used to display current selections and radio status.
  • the DSP 20 is responsible for all audio processing and assumes part of the role of the modem.
  • the demodulator function is provided by the DSP 20, and all audio filtering is done with the DSP 20.
  • a digitized microphone audio input 22 communicates with the DSP 20, wherein the microphone audio has already been digitized by a CODEC or equivalent.
  • a digitized receiver LF. input 24 also communicates with the DSP, wherein the receiver intermediate frequency signal is fed to a phase digitizer and then sampled directly by the DSP 20.
  • a digitized TX modulation output to synthesizer is the transmit audio, which is routed to the transmitter synthesizer in digital form, in this particular configuration, conversion to analog audio is not necessary.
  • a digital RX audio output 28 (for speaker audio) is also provided, which is the digital audio destined for the speaker. It is converted to analog audio by an external CODEC prior to being fed to an audio power amplifier (not shown).
  • FIGURES 2 and 4 illustrate the process performed by the microprocessor 12 of the portable radio 10.
  • FIGURE 2 illustrates the process executed as part of the background task performed periodically by the microprocessor 12.
  • the microprocessor examines the input controls to detect user activity, such as button presses and knobs being turned, and determines a level of ambient noise for determining an audio response function.
  • the audio response function is determined by building a corresponding audio response message.
  • the audio response function would be determined by modif ing a response of the dedicated filter circuit.
  • the ambient noise level is first examined in step S101. If the ambient noise level is found not to have changed at all or not enough to constitute a change (no in step S102), then the microprocessor 12 skips ahead to step S105, and no action is taken. However, if a new ambient noise level is detected (yes in step S102), the microprocessor fetches audio parameters for the new level from the personality storage (either EEPROM or flash memory) (step S103). In step S104, these parameters are assembled into a message, which is then sent to the DSP 20.
  • the personality storage either EEPROM or flash memory
  • the ambient noise level checked in step S 101 is determined in accordance with either the volume setting (determined by the position of the volume knob) or a direct sampling of ambient noise using the digitized microphone audio input 22. With respect to determining the volume setting, it is assumed that a high volume setting is indicative of a high ambient noise level.
  • the microprocessor accesses an audio parameter table including the audio parameters stored in the EEPROM 16 and/or flash memory 18 in accordance with the volume setting or the sampled ambient noise level.
  • FIGURE 3 illustrates important concepts according to the present invention.
  • Curve "b” demonstrates the effect on articulation efficiency caused by setting the lower cutoff frequency at various points. Typical mobile radio systems use a lower cutoff frequency of 300 hz, which yields an articulation efficiency of nearly
  • Curve "b” shows that raising this lower cutoff frequency to as high as lOOOhz causes only a small decrease in articulation efficiency, to 90%.
  • Curve “d” shows the total sound energy as a function of lower cutoff frequency. It can be seen that moving the lower cutoff frequency up to 1000 hz causes a major reduction in the total sound energy. As noted above, curve “b” provides that this can be accomplished with minimal effect on articulation efficiency.
  • Raising the cutoff frequency thus lowers the contribution to total energy caused by the lower frequency speech components, while having a small effect on articulation efficiency.
  • the advantage is that the reduction in energy allows greater amplification to be applied to the higher frequencies, which convey most of the intelligence of human speech.
  • the trade off is the "naturalness" of the speech. Since uneven amplification is applied to various bands of audio frequencies, there is a loss of fidelity of the speaker's voice.
  • a possible data structure for the audio parameters is shown below.
  • Each row contains a boost buck (positive/negative gain) setting for each sub band of the receive audio.
  • the receive audio pass band is divided into low frequency, mid frequency, and high frequency sub bands.
  • the boost/buck value indicates the gain relative to the default audio response curve. With this set of data, mid and high frequencies would receive relative boosts at volume settings of ⁇ and greater, and low frequency gain will be reduced.
  • this chart illustrates a particular implementation of the invention.
  • the audio curve shaping is based on the volume setting, which is assumed to be indicative of ambient noise conditions where the transmission is being received.
  • sampled ambient noise could alternatively be used to access the personality storage.
  • FIGURE 4 details the DSP algorithm that processes messages from the microprocessor and, in particular, the DSP software that responds to the audio response message.
  • the DSP has a list of background tasks that are performed on a regular schedule. One such task is to check for and process messages from the microprocessor. If no messages are present (no in step S201), the processor skips ahead to step S205 and the task is finished. However, if a message is present (yes in step S201), the message type field is examined in step S202. Messages other than the audio response message are handled in software sections not detailed here (no in step S202). When an audio response message is received (yes in step S202), the new audio response parameters are extracted from the message in step S203.
  • step S204 these new parameters are substituted into the DSP audio filter routines. These routines may be already in use, such as the case when the radio is receiving a call. Alternatively, if the filter routine is not currently in use, the new parameters will be used when the filter routine is next begun. The process then proceeds to step S205 and the task is finished.
  • the relative gain of the higher audio frequencies is increased at the expense of low frequency response to improve intelligibility.
  • the "naturalness" of received speech is only compromised when necessary to enhance intelligibility, and thus, received audio will be unaltered during normal ambient noise conditions.
  • the volume of the high frequencies can be raised substantially beyond a point where distortion would normally limit usable volume.

Abstract

Intelligibility of received speech in a radio receiver is improved by automatically adjusting audio response in accordance with ambient noise levels. When high ambient noise is present, the relative gain of the higher audio frequencies is increased at the expense of low frequency response. In this instance, some 'naturalness' is traded for the higher intelligibility provided by increased high frequency gain. The ambient noise level is determined based on either a volume level or a direct sample of ambient noise by a microphone. An audio response message is built in accordance with the ambient noise level, and a digital signal processor adjusts the audio response of the radio receiver in accordance with the audio response message.

Description

METHOD FOR AUTOMATICALLY ADJUSTING AUDIO RESPONSE FOR IMPROVED INTELLIGIBILITY
BACKGROUND
The present invention relates generally to radio receivers and, more particularly, to an apparatus and method for dynamically altering the audio response of a radio receiver to improve intelligibility of received speech.
Mobile and portable radios are often used in areas with high ambient noise which degrades the intelligibility of transmitted and received messages. The use of noise canceling microphones addresses the issue of impaired transmissions, but there is little a user can do to overcome ambient noise while receiving the audio signals except to increase the received volume or wear a headset.
Both of these approaches have limited usefulness. That is, there is a limit to the total audio energy the radio is capable of producing without severe distortion, especially with portable receivers. In addition, increasing the volume adds to the pre-existing high ambient noise level, which could result in other noise sources increasing their volume, thereby further aggravating the problem. Headsets pose problems with comfort, and the attenuation of ambient noise may cause safety problems for the wearer.
Some manufacturers of consumer audio equipment have included a
"loudness" control in their audio receivers. While this does select between preset audio response curves, it is a manual operation left to the user. SUMMARY OF THE INVENTION
It is therefore an object of the present invention to provide a method and apparatus wherein an audio response is automatically adjusted to improve intelligibility in areas with high ambient noise, thereby overcoming the problems of the prior art. It is another object of the invention to provide a method and apparatus for dynamically altering the audio response of a radio receiver to yield the best tradeoff between "naturalness" and intelligibility of received speech.
"Naturalness" conceptually refers to the natural frequencies of generated sound. In this regard, a "natural" audio response includes no enhancement of any frequencies so that the outputted signal response more closely corresponds to the input signal.
In general, a basic concept of the invention is to increase the relative gain of the higher audio frequencies at the expense of low frequency response to improve intelligibility when there is high ambient noise. The decision on when to boost the high frequency gain can be based on sampled ambient noise or on the user's choice of received volume setting. (In the latter case, a high setting would be taken as an indicator that ambient noise is also high.) Under high ambient noise levels, some "naturalness" is traded for the higher intelligibility provided by increased high frequency gain.
These and other objects of the invention are achieved by providing a method of dynamically altering an audio response of a radio receiver. The method includes (a) deterrnming an ambient noise level; (b) determining an audio response function in accordance with the ambient noise level; and (c) adjusting the audio response of the radio receiver in accordance with the audio response function. Step (b) may be practiced by building an audio response message for a digital signal processor (DSP) or by modifying a response of a dedicated filter circuit.
In preferred forms, step (a) may be practiced by detecting a volume knob position or by sampling the ambient noise level using a microphone input. In each instance, step (b) is preferably practiced by accessing an array of audio parameters and selecting parameters corresponding to the volume knob position or the sampled ambient noise level, respectively.
The method may further include dividing a receive audio passband into at least low frequency and high frequency sub bands to define an array of audio parameters corresponding to each volume knob position or a range of ambient noise levels. In this regard, step (b) is preferably practiced by accessing the array of audio parameters and selecting parameters corresponding to the volume knob position or sampled ambient noise level.
Step (c) may be practiced by (d) adjusting a gain of high audio frequencies relative to low audio frequencies, and when the ambient noise level increases, step (d) is preferably practiced by increasing the gain of the high audio frequencies relative to the low audio frequencies.
Prior to step (c), the method may further include sending the audio response message to a DSP, wherein step (c) is carried out by the DSP.
Further, the method may include, also prior to step (c), extracting audio response parameters from the audio response message and substituting the audio response parameters into a DSP filter routine. In accordance with another aspect of the invention, there is provided another method of dynamically altering an audio response of a radio receiver. This method includes (a) determining an ambient noise level; and (b) adjusting a gain of high audio frequencies relative to low audio frequencies in accordance with the ambient noise level. In this regard, when the ambient noise level increases, step (b) is practiced by increasing the gain of the high audio frequencies relative to the low audio frequencies.
In accordance with still another aspect of the invention, there is provided an apparatus for dynamically altering an audio response of a radio receiver, which carries out the method according to the invention. The apparatus includes structure for determining an ambient noise level; a controller that builds an audio response message in accordance with the ambient noise level; and a digital signal processor (DSP) that adjusts the audio response of the radio receiver in accordance with the audio response message.
In accordance with yet another aspect of the invention, there is provided another apparatus for dynamically altering an audio response of a radio receiver. The apparatus includes structure for determining an ambient noise level; and structure for adjusting a gain of high audio frequencies relative to low audio frequencies in accordance with the ambient noise level. The adjusting structure preferably increases the gain of the high audio frequencies relative to the low audio frequencies when the ambient noise level increases.
By virtue of the present invention, no adjustment is required by the operator, especially when controlled by sampling ambient noise directly. Moreover, the "naturalness" of received speech is only compromised when necessary to enhance intelligibility, thus received audio will be unaltered during normal ambient noise conditions. Still further, by limiting the energy of the low frequencies, the volume of the high frequencies can be raised substantially beyond the point where distortion would normally limit usable volume.
BRIEF DESCRIPTION OF THE DRAWINGS
These and other aspects and advantages of the invention will become more clear in view of the following detailed description of the preferred embodiments when read in conjunction with the accompanying drawings in which:
FIGURE 1 is a block diagram showing the hardware configuration of a portable radio;
FIGURE 2 is a flow chart of the control microprocessor implementation according to the invention;
FIGURE 3 is a graph illustrating electronic communication concepts according to the present invention; and
FIGURE 4 is a flow chart of the digital signal processor (DSP) implementation according to the invention. DETAILED DESCRIPTION OF PREFERRED EMBODIMENTS
FIGURE 1 is a block diagram showing the hardware configuration of a portable radio such as the Ericsson Prism (HP) portable radio manufactured and sold by Ericsson, Inc. of Lynchburg, Virginia. Those of ordinary skill in the art will contemplate other structural configurations to carry out the method according to the invention, and the invention is not meant to be limited to the illustrated portable radio. The structure illustrated in FIGURE 1 is merely one example of a hardware configuration that is compatible with the features of the present invention.
Referring to FIGURE 1, the portable radio 10 includes a microprocessor 12, which serves as the primary controller for the radio. The microprocessor 12 monitors inputs provided from the user control inputs 14. The user control inputs 14 encompasses user controls such as PTT, volume control and the channel selector. An EEPROM 16 holds infor iation that personalizes the product to the user's needs. This information can include the operating frequencies, group ID's, operator preferences and the like. A flash memory 18 also communicates with the microprocessor 12 and stores program information for the microprocessor and personality iαformation similar to that held in the EEPROM. The flash memory may also contain operational software to be downloaded to the digital signal processor (DSP) 20 (described below). The display 22 is typically an LCD indicator used to display current selections and radio status.
The DSP 20 is responsible for all audio processing and assumes part of the role of the modem. The demodulator function is provided by the DSP 20, and all audio filtering is done with the DSP 20. A digitized microphone audio input 22 communicates with the DSP 20, wherein the microphone audio has already been digitized by a CODEC or equivalent. A digitized receiver LF. input 24 also communicates with the DSP, wherein the receiver intermediate frequency signal is fed to a phase digitizer and then sampled directly by the DSP 20. A digitized TX modulation output to synthesizer is the transmit audio, which is routed to the transmitter synthesizer in digital form, in this particular configuration, conversion to analog audio is not necessary. Finally, a digital RX audio output 28 (for speaker audio) is also provided, which is the digital audio destined for the speaker. It is converted to analog audio by an external CODEC prior to being fed to an audio power amplifier (not shown).
The detailed structure of the portable radio is well known to those of ordinary skill in the art, and the details of the structure illustrated in FIGURE 1 will therefore not be further described.
FIGURES 2 and 4 illustrate the process performed by the microprocessor 12 of the portable radio 10. FIGURE 2 illustrates the process executed as part of the background task performed periodically by the microprocessor 12. During this background task, the microprocessor examines the input controls to detect user activity, such as button presses and knobs being turned, and determines a level of ambient noise for determining an audio response function. With the DSP 20, the audio response function is determined by building a corresponding audio response message. As an alternative to the DSP 20, a dedicated analog filter circuit
(not shown) may be provided. In this regard, the audio response function would be determined by modif ing a response of the dedicated filter circuit. In accordance with the present invention, the ambient noise level is first examined in step S101. If the ambient noise level is found not to have changed at all or not enough to constitute a change (no in step S102), then the microprocessor 12 skips ahead to step S105, and no action is taken. However, if a new ambient noise level is detected (yes in step S102), the microprocessor fetches audio parameters for the new level from the personality storage (either EEPROM or flash memory) (step S103). In step S104, these parameters are assembled into a message, which is then sent to the DSP 20.
The ambient noise level checked in step S 101 is determined in accordance with either the volume setting (determined by the position of the volume knob) or a direct sampling of ambient noise using the digitized microphone audio input 22. With respect to determining the volume setting, it is assumed that a high volume setting is indicative of a high ambient noise level. The microprocessor accesses an audio parameter table including the audio parameters stored in the EEPROM 16 and/or flash memory 18 in accordance with the volume setting or the sampled ambient noise level.
The definition of the audio parameter table is derived from fundamental electronic communication concepts. FIGURE 3 illustrates important concepts according to the present invention. Curve "b" demonstrates the effect on articulation efficiency caused by setting the lower cutoff frequency at various points. Typical mobile radio systems use a lower cutoff frequency of 300 hz, which yields an articulation efficiency of nearly
100%. Curve "b" shows that raising this lower cutoff frequency to as high as lOOOhz causes only a small decrease in articulation efficiency, to 90%. Curve "d" shows the total sound energy as a function of lower cutoff frequency. It can be seen that moving the lower cutoff frequency up to 1000 hz causes a major reduction in the total sound energy. As noted above, curve "b" provides that this can be accomplished with minimal effect on articulation efficiency.
Raising the cutoff frequency thus lowers the contribution to total energy caused by the lower frequency speech components, while having a small effect on articulation efficiency. The advantage is that the reduction in energy allows greater amplification to be applied to the higher frequencies, which convey most of the intelligence of human speech. The trade off is the "naturalness" of the speech. Since uneven amplification is applied to various bands of audio frequencies, there is a loss of fidelity of the speaker's voice.
A possible data structure for the audio parameters is shown below. In this arrangement, there is an array that contains a row for each possible volume setting. If the ambient noise level is deteπnined using a direct sampling of ambient noise, a similar array would be accessed containing a row for each of a selected range of ambient noise levels. (For ease of discussion in this example, it is assumed that the volume is adjustable over eight steps. A radio would typically have 32 or more selectable levels.) Each row contains a boost buck (positive/negative gain) setting for each sub band of the receive audio. In this example, the receive audio pass band is divided into low frequency, mid frequency, and high frequency sub bands. The boost/buck value indicates the gain relative to the default audio response curve. With this set of data, mid and high frequencies would receive relative boosts at volume settings of δ and greater, and low frequency gain will be reduced. VOLUME LOW MID HIGH SETTING FREQUENCY FREQUENCY FREQUENCY
1 0 0 0
2 0 0 0
3 0 0 0
4 0 0 0
5 -1 0 +1
6 -2 0 +2
7 -3 -1 +3
8 -4 -2 +3
Note that this chart illustrates a particular implementation of the invention. In this case, the audio curve shaping is based on the volume setting, which is assumed to be indicative of ambient noise conditions where the transmission is being received. As noted above, sampled ambient noise could alternatively be used to access the personality storage.
FIGURE 4 details the DSP algorithm that processes messages from the microprocessor and, in particular, the DSP software that responds to the audio response message. In the same fashion as the microprocessor, the DSP has a list of background tasks that are performed on a regular schedule. One such task is to check for and process messages from the microprocessor. If no messages are present (no in step S201), the processor skips ahead to step S205 and the task is finished. However, if a message is present (yes in step S201), the message type field is examined in step S202. Messages other than the audio response message are handled in software sections not detailed here (no in step S202). When an audio response message is received (yes in step S202), the new audio response parameters are extracted from the message in step S203. In step S204, these new parameters are substituted into the DSP audio filter routines. These routines may be already in use, such as the case when the radio is receiving a call. Alternatively, if the filter routine is not currently in use, the new parameters will be used when the filter routine is next begun. The process then proceeds to step S205 and the task is finished.
As illustrated in the chart described above, as the ambient noise level increases, which is either detected by an increase in volume level or a microphone sampled ambient noise, the relative gain of the higher audio frequencies is increased at the expense of low frequency response to improve intelligibility. Of course, the "naturalness" of received speech is only compromised when necessary to enhance intelligibility, and thus, received audio will be unaltered during normal ambient noise conditions. In addition, by limiting the energy of the low frequencies, the volume of the high frequencies can be raised substantially beyond a point where distortion would normally limit usable volume.
While the invention has been described in connection with what is presently considered to be the most practical and preferred embodiments, it is to be understood that the invention is not to be limited to the disclosed embodiments, but on the contrary, is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.

Claims

WHAT IS CLAIMED IS:
1. A method of dynamically altering an audio response of a radio receiver, the method comprising: (a) deterniining an ambient noise level; (b) determining an audio response function in accordance with the ambient noise level; and (c) adjusting the audio response of the radio receiver in accordance with the audio response function.
2. A method according to claim 1, wherein step (a) is practiced by detecting a volume knob position.
3. A method according to claim 2, wherein step (b) is practiced by accessing an array of audio parameters and selecting parameters corresponding to the volume knob position.
4. A method according to claim 2, comprising the further step of dividing a receive audio passband into at least low frequency and high frequency sub bands to define an array of audio parameters corresponding to each volume knob position.
5. A method according to claim 4, wherein step (b) is practiced by accessing the array of audio parameters and selecting parameters corresponding to the volume knob position.
6. A method according to claim 1, wherein step (a) is practiced by sampling the ambient noise level using a microphone input.
7. A method according to claim 6, wherein step (b) is practiced by accessing an array of audio parameters and selecting parameters corresponding to the sampled ambient noise level.
8. A method according to claim 6, comprising the further step of dividing a receive audio passband into at least low frequency and high frequency sub bands to define an array of audio parameters corresponding to a range of ambient noise levels.
9. A method according to claim 8, wherein step (b) is practiced by accessing the array of audio parameters and selecting parameters corresponding to the sampled ambient noise level.
10. A method according to claim 1, wherein step (c) is practiced by (d) adjusting a gain of high audio frequencies relative to low audio frequencies.
11. A method according to claim 10, wherein when the ambient noise level increases, step (d) is practiced by increasing the gain of the high audio frequencies relative to the low audio frequencies.
12. A method according to claim 1, wherein step (b) is practiced by building an audio response message in accordance with the ambient noise level.
13. A method according to claim 12, comprising the further step, prior to step (c), of sending the audio response message to a digital signal processor (DSP), wherein step (c) is carried out by the DSP.
14. A method according to claim 12, comprising the further step, prior to step (c), of extracting audio response parameters from the audio response message and substituting the audio response parameters into a digital signal processor filter routine.
15. A method according to claim 1, wherein step (b) is practiced by modifying a response of a dedicated filter circuit.
16. A method of dynamically altering an audio response of a radio receiver, the method comprising: (a) determining an ambient noise level; and (b) adjusting a gain of high audio frequencies relative to low audio frequencies in accordance with the ambient noise level.
17. A method according to claim 16, wherein when the ambient noise level increases, step (b) is practiced by increasing the gain of the high audio frequencies relative to the low audio frequencies.
18. An apparatus for dynamically altering an audio response of a radio receiver, the apparatus comprising: means for determining an ambient noise level; a controller that builds an audio response message in accordance with the ambient noise level; and a digital signal processor (DSP) that adjusts the audio response of the radio receiver in accordance with the audio response message.
19. An apparatus according to claim 18, wherein said determining means comprises a detector that detects a volume knob position change.
20. An apparatus according to claim 19, wherein said controller builds said audio response message by accessing an array of audio parameters and by selecting parameters corresponding to the volume knob position.
21. An apparatus according to claim 19, wherein said controller divides a receive audio passband into at least low frequency and high frequency sub bands to define an array of audio parameters corresponding to each volume knob position.
22. An apparatus according to claim 21, wherein said controller builds said audio response message by accessing the array of audio parameters and selecting parameters corresponding to the volume knob position.
23. An apparatus according to claim 18, wherein said determining means comprises a microphone input that samples the ambient noise level.
24. An apparatus according to claim 23, wherein said controller builds said audio response message by accessing an array of audio parameters and selecting parameters corresponding to the sampled ambient noise level.
25. An apparatus according to daim 23, wherein said controller divides a receive audio passband into at least low frequency and high frequency sub bands to define an array of audio parameters corresponding to a range of ambient noise levels.
26. An apparatus according to claim 25, wherein said controller builds said audio response message by accessing the array of audio parameters and selecting parameters corresponding to the sampled ambient noise level.
27. An apparatus according to claim 18, wherein said DSP adjusts the audio response of the radio receiver by adjusting a gain of high audio frequencies relative to low audio frequencies.
28. An apparatus according to claim 27, wherein said DSP adjusts the audio response by increasing the gain of the high audio frequencies relative to the low audio frequencies when the ambient noise level increases.
29. An apparatus according to claim 18, wherein said DSP extracts audio response parameters from the audio response message and substitutes the audio response parameters into a DSP filter routine.
30. An apparatus for dynamically altering an audio response of a radio receiver, the apparatus comprising: means for determining an ambient noise level; and means for adjusting a gain of high audio frequencies relative to low audio frequencies in accordance with the ambient noise level.
31. An apparatus according to daim 30, wherein said adjusting means increases the gain of the high audio frequendes relative to the low audio frequendes when the ambient noise level increases.
PCT/US1997/005516 1996-04-04 1997-04-02 Method for automatically adjusting audio response for improved intelligibility WO1997038488A1 (en)

Priority Applications (7)

Application Number Priority Date Filing Date Title
EP97917831A EP0891652B1 (en) 1996-04-04 1997-04-02 Method for automatically adjusting audio response for improved intelligibility
PL97329194A PL182745B1 (en) 1996-04-04 1997-04-02 Method of and apparatus for automatically adjusting the acoustics characteristic in order to improve intelligibility
AU26059/97A AU709329B2 (en) 1996-04-04 1997-04-02 Method for automatically adjusting audio response for improved intelligibility
DE69719739T DE69719739D1 (en) 1996-04-04 1997-04-02 METHOD FOR AUTOMATICALLY ADJUSTING AN AUDIO FREQUENCY GEAR FOR BETTER UNDERSTANDABILITY
JP53631397A JP4057062B2 (en) 1996-04-04 1997-04-02 Voice response automatic adjustment method to improve intelligibility
BR9708516A BR9708516A (en) 1996-04-04 1997-04-02 Process and apparatus for dynamically changing the audio response of a radio receiver
HK99104756A HK1019669A1 (en) 1996-04-04 1999-10-25 Method for automatically adjusting audio response for improved intelligibility

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US08/626,908 US5790671A (en) 1996-04-04 1996-04-04 Method for automatically adjusting audio response for improved intelligibility
US08/626,908 1996-04-04

Publications (1)

Publication Number Publication Date
WO1997038488A1 true WO1997038488A1 (en) 1997-10-16

Family

ID=24512376

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US1997/005516 WO1997038488A1 (en) 1996-04-04 1997-04-02 Method for automatically adjusting audio response for improved intelligibility

Country Status (12)

Country Link
US (1) US5790671A (en)
EP (1) EP0891652B1 (en)
JP (1) JP4057062B2 (en)
KR (1) KR100443703B1 (en)
CN (1) CN1098559C (en)
AU (1) AU709329B2 (en)
BR (1) BR9708516A (en)
DE (1) DE69719739D1 (en)
HK (1) HK1019669A1 (en)
MY (1) MY113948A (en)
PL (1) PL182745B1 (en)
WO (1) WO1997038488A1 (en)

Cited By (116)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2001036604A (en) * 1999-07-19 2001-02-09 Yamaha Corp Telephone set
WO2007110693A1 (en) * 2006-03-24 2007-10-04 Sony Ericsson Mobile Communications Ab Sony ericsson mobile communications ab
WO2008010029A1 (en) 2006-07-17 2008-01-24 Sony Ericsson Mobile Communications Ab Volume dependent audio frequency gain profile
FR2908914A1 (en) * 2006-11-20 2008-05-23 Thomas Francois Paul Hugues DEVICE FOR ASSISTING PEOPLE WITH COMMUNICATION DIFFICULTIES
WO2009025705A1 (en) * 2007-08-16 2009-02-26 Thomson Licensing Network audio processor
JP2009065709A (en) * 1997-02-21 2009-03-26 Nokia Corp Method for setting audio parameters in digital signal processor in electronic device, and electronic device
US8111842B2 (en) 2008-04-04 2012-02-07 Apple Inc. Filter adaptation based on volume setting for certification enhancement in a handheld wireless communications device
US8744091B2 (en) 2010-11-12 2014-06-03 Apple Inc. Intelligibility control using ambient noise detection
US8892446B2 (en) 2010-01-18 2014-11-18 Apple Inc. Service orchestration for intelligent automated assistant
US9262612B2 (en) 2011-03-21 2016-02-16 Apple Inc. Device access using voice authentication
US9300784B2 (en) 2013-06-13 2016-03-29 Apple Inc. System and method for emergency calls initiated by voice command
US9330720B2 (en) 2008-01-03 2016-05-03 Apple Inc. Methods and apparatus for altering audio output signals
US9338493B2 (en) 2014-06-30 2016-05-10 Apple Inc. Intelligent automated assistant for TV user interactions
US9368114B2 (en) 2013-03-14 2016-06-14 Apple Inc. Context-sensitive handling of interruptions
US9430463B2 (en) 2014-05-30 2016-08-30 Apple Inc. Exemplar-based natural language processing
US9483461B2 (en) 2012-03-06 2016-11-01 Apple Inc. Handling speech synthesis of content for multiple languages
US9502031B2 (en) 2014-05-27 2016-11-22 Apple Inc. Method for supporting dynamic grammars in WFST-based ASR
US9535906B2 (en) 2008-07-31 2017-01-03 Apple Inc. Mobile device having human language translation capability with positional feedback
US9576574B2 (en) 2012-09-10 2017-02-21 Apple Inc. Context-sensitive handling of interruptions by intelligent digital assistant
US9582608B2 (en) 2013-06-07 2017-02-28 Apple Inc. Unified ranking with entropy-weighted information for phrase-based semantic auto-completion
US9606986B2 (en) 2014-09-29 2017-03-28 Apple Inc. Integrated word N-gram and class M-gram language models
US9620105B2 (en) 2014-05-15 2017-04-11 Apple Inc. Analyzing audio input for efficient speech and music recognition
US9620104B2 (en) 2013-06-07 2017-04-11 Apple Inc. System and method for user-specified pronunciation of words for speech synthesis and recognition
US9626955B2 (en) 2008-04-05 2017-04-18 Apple Inc. Intelligent text-to-speech conversion
US9633674B2 (en) 2013-06-07 2017-04-25 Apple Inc. System and method for detecting errors in interactions with a voice-based digital assistant
US9633004B2 (en) 2014-05-30 2017-04-25 Apple Inc. Better resolution when referencing to concepts
US9633660B2 (en) 2010-02-25 2017-04-25 Apple Inc. User profiling for voice input processing
US9646609B2 (en) 2014-09-30 2017-05-09 Apple Inc. Caching apparatus for serving phonetic pronunciations
US9646614B2 (en) 2000-03-16 2017-05-09 Apple Inc. Fast, language-independent method for user authentication by voice
US9668121B2 (en) 2014-09-30 2017-05-30 Apple Inc. Social reminders
US9697822B1 (en) 2013-03-15 2017-07-04 Apple Inc. System and method for updating an adaptive speech recognition model
US9697820B2 (en) 2015-09-24 2017-07-04 Apple Inc. Unit-selection text-to-speech synthesis using concatenation-sensitive neural networks
US9711141B2 (en) 2014-12-09 2017-07-18 Apple Inc. Disambiguating heteronyms in speech synthesis
US9715875B2 (en) 2014-05-30 2017-07-25 Apple Inc. Reducing the need for manual start/end-pointing and trigger phrases
US9721566B2 (en) 2015-03-08 2017-08-01 Apple Inc. Competing devices responding to voice triggers
US9734193B2 (en) 2014-05-30 2017-08-15 Apple Inc. Determining domain salience ranking from ambiguous words in natural speech
US9760559B2 (en) 2014-05-30 2017-09-12 Apple Inc. Predictive text input
US9785630B2 (en) 2014-05-30 2017-10-10 Apple Inc. Text prediction using combined word N-gram and unigram language models
US9798393B2 (en) 2011-08-29 2017-10-24 Apple Inc. Text correction processing
US9818400B2 (en) 2014-09-11 2017-11-14 Apple Inc. Method and apparatus for discovering trending terms in speech requests
US9842101B2 (en) 2014-05-30 2017-12-12 Apple Inc. Predictive conversion of language input
US9842105B2 (en) 2015-04-16 2017-12-12 Apple Inc. Parsimonious continuous-space phrase representations for natural language processing
US9858925B2 (en) 2009-06-05 2018-01-02 Apple Inc. Using context information to facilitate processing of commands in a virtual assistant
US9865280B2 (en) 2015-03-06 2018-01-09 Apple Inc. Structured dictation using intelligent automated assistants
US9886432B2 (en) 2014-09-30 2018-02-06 Apple Inc. Parsimonious handling of word inflection via categorical stem + suffix N-gram language models
US9886953B2 (en) 2015-03-08 2018-02-06 Apple Inc. Virtual assistant activation
US9899019B2 (en) 2015-03-18 2018-02-20 Apple Inc. Systems and methods for structured stem and suffix language models
US9922642B2 (en) 2013-03-15 2018-03-20 Apple Inc. Training an at least partial voice command system
US9934775B2 (en) 2016-05-26 2018-04-03 Apple Inc. Unit-selection text-to-speech synthesis based on predicted concatenation parameters
US9953088B2 (en) 2012-05-14 2018-04-24 Apple Inc. Crowd sourcing information to fulfill user requests
US9959870B2 (en) 2008-12-11 2018-05-01 Apple Inc. Speech recognition involving a mobile device
US9966068B2 (en) 2013-06-08 2018-05-08 Apple Inc. Interpreting and acting upon commands that involve sharing information with remote devices
US9966065B2 (en) 2014-05-30 2018-05-08 Apple Inc. Multi-command single utterance input method
US9971774B2 (en) 2012-09-19 2018-05-15 Apple Inc. Voice-based media searching
US9972304B2 (en) 2016-06-03 2018-05-15 Apple Inc. Privacy preserving distributed evaluation framework for embedded personalized systems
US10049663B2 (en) 2016-06-08 2018-08-14 Apple, Inc. Intelligent automated assistant for media exploration
US10049668B2 (en) 2015-12-02 2018-08-14 Apple Inc. Applying neural network language models to weighted finite state transducers for automatic speech recognition
US10057736B2 (en) 2011-06-03 2018-08-21 Apple Inc. Active transport based notifications
US10067938B2 (en) 2016-06-10 2018-09-04 Apple Inc. Multilingual word prediction
US10074360B2 (en) 2014-09-30 2018-09-11 Apple Inc. Providing an indication of the suitability of speech recognition
US10079014B2 (en) 2012-06-08 2018-09-18 Apple Inc. Name recognition system
US10078631B2 (en) 2014-05-30 2018-09-18 Apple Inc. Entropy-guided text prediction using combined word and character n-gram language models
US10083688B2 (en) 2015-05-27 2018-09-25 Apple Inc. Device voice control for selecting a displayed affordance
US10089072B2 (en) 2016-06-11 2018-10-02 Apple Inc. Intelligent device arbitration and control
US10101822B2 (en) 2015-06-05 2018-10-16 Apple Inc. Language input correction
US10127220B2 (en) 2015-06-04 2018-11-13 Apple Inc. Language identification from short strings
US10127911B2 (en) 2014-09-30 2018-11-13 Apple Inc. Speaker identification and unsupervised speaker adaptation techniques
US10134385B2 (en) 2012-03-02 2018-11-20 Apple Inc. Systems and methods for name pronunciation
US10170123B2 (en) 2014-05-30 2019-01-01 Apple Inc. Intelligent assistant for home automation
US10176167B2 (en) 2013-06-09 2019-01-08 Apple Inc. System and method for inferring user intent from speech inputs
US10186254B2 (en) 2015-06-07 2019-01-22 Apple Inc. Context-based endpoint detection
US10185542B2 (en) 2013-06-09 2019-01-22 Apple Inc. Device, method, and graphical user interface for enabling conversation persistence across two or more instances of a digital assistant
US10192552B2 (en) 2016-06-10 2019-01-29 Apple Inc. Digital assistant providing whispered speech
US10199051B2 (en) 2013-02-07 2019-02-05 Apple Inc. Voice trigger for a digital assistant
US10223066B2 (en) 2015-12-23 2019-03-05 Apple Inc. Proactive assistance based on dialog communication between devices
US10241752B2 (en) 2011-09-30 2019-03-26 Apple Inc. Interface for a virtual digital assistant
US10241644B2 (en) 2011-06-03 2019-03-26 Apple Inc. Actionable reminder entries
US10249300B2 (en) 2016-06-06 2019-04-02 Apple Inc. Intelligent list reading
US10255907B2 (en) 2015-06-07 2019-04-09 Apple Inc. Automatic accent detection using acoustic models
US10269345B2 (en) 2016-06-11 2019-04-23 Apple Inc. Intelligent task discovery
US10276170B2 (en) 2010-01-18 2019-04-30 Apple Inc. Intelligent automated assistant
US10283110B2 (en) 2009-07-02 2019-05-07 Apple Inc. Methods and apparatuses for automatic speech recognition
US10289433B2 (en) 2014-05-30 2019-05-14 Apple Inc. Domain specific language for encoding assistant dialog
US10297253B2 (en) 2016-06-11 2019-05-21 Apple Inc. Application integration with a digital assistant
US10318871B2 (en) 2005-09-08 2019-06-11 Apple Inc. Method and apparatus for building an intelligent automated assistant
US10354011B2 (en) 2016-06-09 2019-07-16 Apple Inc. Intelligent automated assistant in a home environment
US10366158B2 (en) 2015-09-29 2019-07-30 Apple Inc. Efficient word encoding for recurrent neural network language models
US10446143B2 (en) 2016-03-14 2019-10-15 Apple Inc. Identification of voice inputs providing credentials
US10446141B2 (en) 2014-08-28 2019-10-15 Apple Inc. Automatic speech recognition based on user feedback
US10490187B2 (en) 2016-06-10 2019-11-26 Apple Inc. Digital assistant providing automated status report
US10496753B2 (en) 2010-01-18 2019-12-03 Apple Inc. Automatically adapting user interfaces for hands-free interaction
US10509862B2 (en) 2016-06-10 2019-12-17 Apple Inc. Dynamic phrase expansion of language input
US10521466B2 (en) 2016-06-11 2019-12-31 Apple Inc. Data driven natural language event detection and classification
US10553209B2 (en) 2010-01-18 2020-02-04 Apple Inc. Systems and methods for hands-free notification summaries
US10552013B2 (en) 2014-12-02 2020-02-04 Apple Inc. Data detection
US10567477B2 (en) 2015-03-08 2020-02-18 Apple Inc. Virtual assistant continuity
US10568032B2 (en) 2007-04-03 2020-02-18 Apple Inc. Method and system for operating a multi-function portable electronic device using voice-activation
US10592095B2 (en) 2014-05-23 2020-03-17 Apple Inc. Instantaneous speaking of content on touch devices
US10593346B2 (en) 2016-12-22 2020-03-17 Apple Inc. Rank-reduced token representation for automatic speech recognition
US10607141B2 (en) 2010-01-25 2020-03-31 Newvaluexchange Ltd. Apparatuses, methods and systems for a digital conversation management platform
US10659851B2 (en) 2014-06-30 2020-05-19 Apple Inc. Real-time digital assistant knowledge updates
US10671428B2 (en) 2015-09-08 2020-06-02 Apple Inc. Distributed personal assistant
US10679605B2 (en) 2010-01-18 2020-06-09 Apple Inc. Hands-free list-reading by intelligent automated assistant
US10691473B2 (en) 2015-11-06 2020-06-23 Apple Inc. Intelligent automated assistant in a messaging environment
US10706373B2 (en) 2011-06-03 2020-07-07 Apple Inc. Performing actions associated with task items that represent tasks to perform
US10705794B2 (en) 2010-01-18 2020-07-07 Apple Inc. Automatically adapting user interfaces for hands-free interaction
US10733993B2 (en) 2016-06-10 2020-08-04 Apple Inc. Intelligent digital assistant in a multi-tasking environment
US10747498B2 (en) 2015-09-08 2020-08-18 Apple Inc. Zero latency digital assistant
US10762293B2 (en) 2010-12-22 2020-09-01 Apple Inc. Using parts-of-speech tagging and named entity recognition for spelling correction
US10791176B2 (en) 2017-05-12 2020-09-29 Apple Inc. Synchronization and task delegation of a digital assistant
US10789041B2 (en) 2014-09-12 2020-09-29 Apple Inc. Dynamic thresholds for always listening speech trigger
US10791216B2 (en) 2013-08-06 2020-09-29 Apple Inc. Auto-activating smart responses based on activities from remote devices
US10810274B2 (en) 2017-05-15 2020-10-20 Apple Inc. Optimizing dialogue policy decisions for digital assistants using implicit feedback
US11010550B2 (en) 2015-09-29 2021-05-18 Apple Inc. Unified language modeling framework for word prediction, auto-completion and auto-correction
US11025565B2 (en) 2015-06-07 2021-06-01 Apple Inc. Personalized prediction of responses for instant messaging
US11587559B2 (en) 2015-09-30 2023-02-21 Apple Inc. Intelligent device identification

Families Citing this family (92)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DK0786121T3 (en) 1994-10-12 2000-07-03 Touchtunes Music Corp Digital, intelligent audio-visual reproduction system
US8661477B2 (en) 1994-10-12 2014-02-25 Touchtunes Music Corporation System for distributing and selecting audio and video information and method implemented by said system
US7188352B2 (en) 1995-07-11 2007-03-06 Touchtunes Music Corporation Intelligent digital audiovisual playback system
US7424731B1 (en) 1994-10-12 2008-09-09 Touchtunes Music Corporation Home digital audiovisual information recording and playback system
US6175634B1 (en) * 1995-08-28 2001-01-16 Intel Corporation Adaptive noise reduction technique for multi-point communication system
US6766176B1 (en) * 1996-07-23 2004-07-20 Qualcomm Incorporated Method and apparatus for automatically adjusting speaker and microphone gains within a mobile telephone
FR2753868A1 (en) 1996-09-25 1998-03-27 Technical Maintenance Corp METHOD FOR SELECTING A RECORDING ON AN AUDIOVISUAL DIGITAL REPRODUCTION SYSTEM AND SYSTEM FOR IMPLEMENTING THE METHOD
ES2190578T3 (en) * 1997-06-23 2003-08-01 Liechti Ag METHOD FOR THE COMPRESSION OF ENVIRONMENTAL NOISE RECORDINGS, METHOD FOR DETECTION OF THE SAME PROGRAM ELEMENTS, DEVICE AND COMPUTER PROGRAM FOR APPLICATION.
FR2769165B1 (en) 1997-09-26 2002-11-29 Technical Maintenance Corp WIRELESS SYSTEM WITH DIGITAL TRANSMISSION FOR SPEAKERS
US6154666A (en) * 1997-12-20 2000-11-28 Ericsson, Inc. Wireless communications assembly with variable audio characteristics based on ambient acoustic environment
FR2781582B1 (en) 1998-07-21 2001-01-12 Technical Maintenance Corp SYSTEM FOR DOWNLOADING OBJECTS OR FILES FOR SOFTWARE UPDATE
US8028318B2 (en) 1999-07-21 2011-09-27 Touchtunes Music Corporation Remote control unit for activating and deactivating means for payment and for displaying payment status
FR2781591B1 (en) 1998-07-22 2000-09-22 Technical Maintenance Corp AUDIOVISUAL REPRODUCTION SYSTEM
FR2781580B1 (en) 1998-07-22 2000-09-22 Technical Maintenance Corp SOUND CONTROL CIRCUIT FOR INTELLIGENT DIGITAL AUDIOVISUAL REPRODUCTION SYSTEM
US8726330B2 (en) 1999-02-22 2014-05-13 Touchtunes Music Corporation Intelligent digital audiovisual playback system
US7068641B1 (en) * 1999-05-05 2006-06-27 Nortel Networks Limited Telephony and data network services at a telephone
CA2273657C (en) * 1999-05-05 2010-09-21 Nortel Networks Corporation Telephony and data network services at a telephone
FR2796482B1 (en) 1999-07-16 2002-09-06 Touchtunes Music Corp REMOTE MANAGEMENT SYSTEM FOR AT LEAST ONE AUDIOVISUAL INFORMATION REPRODUCING DEVICE
WO2001030049A1 (en) * 1999-10-19 2001-04-26 Fujitsu Limited Received speech processing unit and received speech reproducing unit
US6298247B1 (en) 1999-12-30 2001-10-02 Telefonaktiebolaget L.M. Ericsson (Publ) Method and apparatus for automatic volume control
FR2805377B1 (en) 2000-02-23 2003-09-12 Touchtunes Music Corp EARLY ORDERING PROCESS FOR A SELECTION, DIGITAL SYSTEM AND JUKE-BOX FOR IMPLEMENTING THE METHOD
FR2805060B1 (en) 2000-02-16 2005-04-08 Touchtunes Music Corp METHOD FOR RECEIVING FILES DURING DOWNLOAD
FR2805072B1 (en) 2000-02-16 2002-04-05 Touchtunes Music Corp METHOD FOR ADJUSTING THE SOUND VOLUME OF A DIGITAL SOUND RECORDING
FR2808906B1 (en) 2000-05-10 2005-02-11 Touchtunes Music Corp DEVICE AND METHOD FOR REMOTELY MANAGING A NETWORK OF AUDIOVISUAL INFORMATION REPRODUCTION SYSTEMS
FR2811175B1 (en) 2000-06-29 2002-12-27 Touchtunes Music Corp AUDIOVISUAL INFORMATION DISTRIBUTION METHOD AND AUDIOVISUAL INFORMATION DISTRIBUTION SYSTEM
FR2811114B1 (en) 2000-06-29 2002-12-27 Touchtunes Music Corp DEVICE AND METHOD FOR COMMUNICATION BETWEEN A SYSTEM FOR REPRODUCING AUDIOVISUAL INFORMATION AND AN ELECTRONIC ENTERTAINMENT MACHINE
US6498937B1 (en) 2000-07-14 2002-12-24 Trw Inc. Asymmetric bandwidth wireless communication techniques
FR2814085B1 (en) 2000-09-15 2005-02-11 Touchtunes Music Corp ENTERTAINMENT METHOD BASED ON MULTIPLE CHOICE COMPETITION GAMES
US6868162B1 (en) * 2000-11-17 2005-03-15 Mackie Designs Inc. Method and apparatus for automatic volume control in an audio system
US6785382B2 (en) 2001-02-12 2004-08-31 Signalworks, Inc. System and method for controlling a filter to enhance speakerphone performance
US6876968B2 (en) * 2001-03-08 2005-04-05 Matsushita Electric Industrial Co., Ltd. Run time synthesizer adaptation to improve intelligibility of synthesized speech
US6639987B2 (en) * 2001-12-11 2003-10-28 Motorola, Inc. Communication device with active equalization and method therefor
KR20030059624A (en) * 2002-01-03 2003-07-10 삼성전자주식회사 Volume control system and volume control method for portable computer
US7483540B2 (en) * 2002-03-25 2009-01-27 Bose Corporation Automatic audio system equalizing
US11029823B2 (en) 2002-09-16 2021-06-08 Touchtunes Music Corporation Jukebox with customizable avatar
US10373420B2 (en) 2002-09-16 2019-08-06 Touchtunes Music Corporation Digital downloading jukebox with enhanced communication features
US9646339B2 (en) 2002-09-16 2017-05-09 Touchtunes Music Corporation Digital downloading jukebox system with central and local music servers
US8584175B2 (en) 2002-09-16 2013-11-12 Touchtunes Music Corporation Digital downloading jukebox system with user-tailored music management, communications, and other tools
US8332895B2 (en) 2002-09-16 2012-12-11 Touchtunes Music Corporation Digital downloading jukebox system with user-tailored music management, communications, and other tools
US7822687B2 (en) 2002-09-16 2010-10-26 Francois Brillon Jukebox with customizable avatar
US8151304B2 (en) 2002-09-16 2012-04-03 Touchtunes Music Corporation Digital downloading jukebox system with user-tailored music management, communications, and other tools
US8103589B2 (en) 2002-09-16 2012-01-24 Touchtunes Music Corporation Digital downloading jukebox system with central and local music servers
US7133643B2 (en) * 2002-12-20 2006-11-07 Motorola, Inc. Method and device for maintaining environmental audio awareness in a simplex communications system
US7469051B2 (en) * 2003-09-11 2008-12-23 Motorola, Inc. Method and apparatus for maintaining audio level preferences in a communication device
JP4241443B2 (en) * 2004-03-10 2009-03-18 ソニー株式会社 Audio signal processing apparatus and audio signal processing method
US7660605B2 (en) * 2004-08-31 2010-02-09 Research In Motion Limited Method and system for the configuration of a mobile station baseband circuit for an acoustic accessory
TW200620817A (en) * 2004-12-10 2006-06-16 Quanta Comp Inc Audio output method and device for portable communication apparatus
CN1801607B (en) * 2004-12-31 2010-10-06 广达电脑股份有限公司 Audio output device, radio communication apparatus and its method for dynamically adjusting volume
US7835773B2 (en) * 2005-03-23 2010-11-16 Kyocera Corporation Systems and methods for adjustable audio operation in a mobile communication device
US8086451B2 (en) * 2005-04-20 2011-12-27 Qnx Software Systems Co. System for improving speech intelligibility through high frequency compression
US8249861B2 (en) * 2005-04-20 2012-08-21 Qnx Software Systems Limited High frequency compression integration
US7813931B2 (en) * 2005-04-20 2010-10-12 QNX Software Systems, Co. System for improving speech quality and intelligibility with bandwidth compression/expansion
US8081766B2 (en) * 2006-03-06 2011-12-20 Loud Technologies Inc. Creating digital signal processing (DSP) filters to improve loudspeaker transient response
BRPI0711317B8 (en) * 2006-05-10 2021-06-22 Koninklijke Philips Nv method for providing audible information from a defibrillator; and, automated external defibrillator
CN101211563B (en) * 2006-12-30 2011-12-21 英华达股份有限公司 Method for processing an audio signal
US9330529B2 (en) 2007-01-17 2016-05-03 Touchtunes Music Corporation Game terminal configured for interaction with jukebox device systems including same, and/or associated methods
US9171419B2 (en) 2007-01-17 2015-10-27 Touchtunes Music Corporation Coin operated entertainment system
US9953481B2 (en) 2007-03-26 2018-04-24 Touchtunes Music Corporation Jukebox with associated video server
US10290006B2 (en) 2008-08-15 2019-05-14 Touchtunes Music Corporation Digital signage and gaming services to comply with federal and state alcohol and beverage laws and regulations
US8332887B2 (en) 2008-01-10 2012-12-11 Touchtunes Music Corporation System and/or methods for distributing advertisements from a central advertisement network to a peripheral device via a local advertisement server
US9324064B2 (en) 2007-09-24 2016-04-26 Touchtunes Music Corporation Digital jukebox device with karaoke and/or photo booth features, and associated methods
DE602007007090D1 (en) * 2007-10-11 2010-07-22 Koninkl Kpn Nv Method and system for measuring speech intelligibility of a sound transmission system
JP5219522B2 (en) * 2008-01-09 2013-06-26 アルパイン株式会社 Speech intelligibility improvement system and speech intelligibility improvement method
JP4640461B2 (en) * 2008-07-08 2011-03-02 ソニー株式会社 Volume control device and program
US8849435B2 (en) 2008-07-09 2014-09-30 Touchtunes Music Corporation Digital downloading jukebox with revenue-enhancing features
US10719149B2 (en) 2009-03-18 2020-07-21 Touchtunes Music Corporation Digital jukebox device with improved user interfaces, and associated methods
US9292166B2 (en) 2009-03-18 2016-03-22 Touchtunes Music Corporation Digital jukebox device with improved karaoke-related user interfaces, and associated methods
US10564804B2 (en) 2009-03-18 2020-02-18 Touchtunes Music Corporation Digital jukebox device with improved user interfaces, and associated methods
KR101748448B1 (en) 2009-03-18 2017-06-16 터치튠즈 뮤직 코포레이션 Entertainment server and associated social networking services
WO2011094330A1 (en) 2010-01-26 2011-08-04 Touchtunes Music Corporation Digital jukebox device with improved user interfaces, and associated methods
CN103078599B (en) * 2011-12-16 2016-04-06 深圳Tcl新技术有限公司 A kind of playing audio/video and method for controlling volume
US11151224B2 (en) 2012-01-09 2021-10-19 Touchtunes Music Corporation Systems and/or methods for monitoring audio inputs to jukebox devices
US9026439B2 (en) * 2012-03-28 2015-05-05 Tyco Fire & Security Gmbh Verbal intelligibility analyzer for audio announcement systems
US8970662B2 (en) 2013-03-12 2015-03-03 Qualcomm Incorporated Output management for electronic communications
US9277373B2 (en) 2013-03-12 2016-03-01 Qualcomm Incorporated Output management for press-to-transmit communications
CN103259898B (en) * 2013-04-18 2016-03-30 华为终端有限公司 The method of Automatic adjusument frequency response and terminal
US9713728B2 (en) 2013-10-29 2017-07-25 Physio-Control, Inc. Variable sound system for medical devices
WO2015070070A1 (en) 2013-11-07 2015-05-14 Touchtunes Music Corporation Techniques for generating electronic menu graphical user interface layouts for use in connection with electronic devices
US20150223110A1 (en) * 2014-02-05 2015-08-06 Qualcomm Incorporated Robust voice-activated floor control
EP3123293A4 (en) 2014-03-25 2017-09-27 Touchtunes Music Corporation Digital jukebox device with improved user interfaces, and associated methods
US9444422B2 (en) * 2014-08-27 2016-09-13 Echostar Uk Holdings Limited Contextual volume control
CN105791722B (en) * 2014-12-22 2018-12-07 深圳Tcl数字技术有限公司 Television sound method of adjustment and television set
US20160300562A1 (en) * 2015-04-08 2016-10-13 Apple Inc. Adaptive feedback control for earbuds, headphones, and handsets
US10494818B2 (en) 2016-10-25 2019-12-03 E-Z Bead, Llc Vented stop bead apparatus, vented weep screed apparatus, and related systems and methods thereof
CA2991392C (en) 2017-01-10 2022-05-17 E-Z Bead, Llc Expansion/control joint for stucco surfaces and related systems and methods
WO2018201374A1 (en) * 2017-05-04 2018-11-08 Harman International Industries, Incorporated Method and device for adjusting audio signal, and audio system
CN107124149B (en) * 2017-05-05 2020-12-01 北京小鱼在家科技有限公司 Volume adjustment method, device and equipment
US10648184B2 (en) 2017-09-22 2020-05-12 E-Z Bead, Llc Stop bead for panel-based siding, and related methods and systems
US11091921B2 (en) 2017-09-22 2021-08-17 E-Z Bead, Llc Stop bead for panel-based siding, and related methods and systems
US11223716B2 (en) * 2018-04-03 2022-01-11 Polycom, Inc. Adaptive volume control using speech loudness gesture
US11180922B2 (en) 2019-12-13 2021-11-23 E-Z Bead, Llc Bead stop for a wall having in interior cement board layer
US11629503B2 (en) 2019-12-13 2023-04-18 E-Z Bead, Llc Bead stop for a wall having interior cement board layer

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0578008A1 (en) * 1992-07-04 1994-01-12 Blaupunkt-Werke GmbH Vehicular radio receiver with speed compensated tone control
EP0669711A1 (en) * 1994-02-26 1995-08-30 Blaupunkt-Werke GmbH Car radio sound reproduction apparatus with noise dependent volume control
US5450494A (en) * 1992-08-05 1995-09-12 Mitsubishi Denki Kabushiki Kaisha Automatic volume controlling apparatus

Family Cites Families (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4454609A (en) * 1981-10-05 1984-06-12 Signatron, Inc. Speech intelligibility enhancement
US4790018A (en) * 1987-02-11 1988-12-06 Argosy Electronics Frequency selection circuit for hearing aids
DE3730763A1 (en) * 1987-09-12 1989-03-30 Blaupunkt Werke Gmbh CIRCUIT FOR INTERFERENCE COMPENSATION
US4941179A (en) * 1988-04-27 1990-07-10 Gn Davavox A/S Method for the regulation of a hearing aid, a hearing aid and the use thereof
JPH02214400A (en) * 1989-02-15 1990-08-27 Sony Corp Microphone device
US5172417A (en) * 1989-05-17 1992-12-15 Pioneer Electronic Corporation Apparatus for controlling acoustical transfer characteristics
JPH03188707A (en) * 1989-12-19 1991-08-16 Pioneer Electron Corp Sound reproducing device
CA2056110C (en) * 1991-03-27 1997-02-04 Arnold I. Klayman Public address intelligibility system
FI95754C (en) * 1992-10-21 1996-03-11 Nokia Deutschland Gmbh sound system
JPH06232662A (en) * 1993-02-04 1994-08-19 Mitsubishi Electric Corp Sound volume controller

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0578008A1 (en) * 1992-07-04 1994-01-12 Blaupunkt-Werke GmbH Vehicular radio receiver with speed compensated tone control
US5450494A (en) * 1992-08-05 1995-09-12 Mitsubishi Denki Kabushiki Kaisha Automatic volume controlling apparatus
EP0669711A1 (en) * 1994-02-26 1995-08-30 Blaupunkt-Werke GmbH Car radio sound reproduction apparatus with noise dependent volume control

Cited By (162)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2012249300A (en) * 1997-02-21 2012-12-13 Nokia Corp Method for setting audio parameters in digital signal processor in electronic apparatus, and electronic apparatus
US8571694B1 (en) 1997-02-21 2013-10-29 Nokia Corporation Method for setting audio parameters in a digital signal processor in an electronic device, and electronic device
US8406907B2 (en) 1997-02-21 2013-03-26 Nokia Mobile Phones Limited Setting audio parameters in a digital signal processor in an electronic device, and electronic device
JP2009065709A (en) * 1997-02-21 2009-03-26 Nokia Corp Method for setting audio parameters in digital signal processor in electronic device, and electronic device
JP2001036604A (en) * 1999-07-19 2001-02-09 Yamaha Corp Telephone set
US9646614B2 (en) 2000-03-16 2017-05-09 Apple Inc. Fast, language-independent method for user authentication by voice
US10318871B2 (en) 2005-09-08 2019-06-11 Apple Inc. Method and apparatus for building an intelligent automated assistant
WO2007110693A1 (en) * 2006-03-24 2007-10-04 Sony Ericsson Mobile Communications Ab Sony ericsson mobile communications ab
WO2008010029A1 (en) 2006-07-17 2008-01-24 Sony Ericsson Mobile Communications Ab Volume dependent audio frequency gain profile
US8930191B2 (en) 2006-09-08 2015-01-06 Apple Inc. Paraphrasing of user requests and results by automated digital assistant
US8942986B2 (en) 2006-09-08 2015-01-27 Apple Inc. Determining user intent based on ontologies of domains
US9117447B2 (en) 2006-09-08 2015-08-25 Apple Inc. Using event alert text as input to an automated assistant
FR2908914A1 (en) * 2006-11-20 2008-05-23 Thomas Francois Paul Hugues DEVICE FOR ASSISTING PEOPLE WITH COMMUNICATION DIFFICULTIES
US10568032B2 (en) 2007-04-03 2020-02-18 Apple Inc. Method and system for operating a multi-function portable electronic device using voice-activation
WO2009025705A1 (en) * 2007-08-16 2009-02-26 Thomson Licensing Network audio processor
US8755532B2 (en) 2007-08-16 2014-06-17 Thomson Licensing Network audio processor
US10381016B2 (en) 2008-01-03 2019-08-13 Apple Inc. Methods and apparatus for altering audio output signals
US9330720B2 (en) 2008-01-03 2016-05-03 Apple Inc. Methods and apparatus for altering audio output signals
US8111842B2 (en) 2008-04-04 2012-02-07 Apple Inc. Filter adaptation based on volume setting for certification enhancement in a handheld wireless communications device
US9865248B2 (en) 2008-04-05 2018-01-09 Apple Inc. Intelligent text-to-speech conversion
US9626955B2 (en) 2008-04-05 2017-04-18 Apple Inc. Intelligent text-to-speech conversion
US10108612B2 (en) 2008-07-31 2018-10-23 Apple Inc. Mobile device having human language translation capability with positional feedback
US9535906B2 (en) 2008-07-31 2017-01-03 Apple Inc. Mobile device having human language translation capability with positional feedback
US9959870B2 (en) 2008-12-11 2018-05-01 Apple Inc. Speech recognition involving a mobile device
US10475446B2 (en) 2009-06-05 2019-11-12 Apple Inc. Using context information to facilitate processing of commands in a virtual assistant
US11080012B2 (en) 2009-06-05 2021-08-03 Apple Inc. Interface for a virtual digital assistant
US9858925B2 (en) 2009-06-05 2018-01-02 Apple Inc. Using context information to facilitate processing of commands in a virtual assistant
US10795541B2 (en) 2009-06-05 2020-10-06 Apple Inc. Intelligent organization of tasks items
US10283110B2 (en) 2009-07-02 2019-05-07 Apple Inc. Methods and apparatuses for automatic speech recognition
US9548050B2 (en) 2010-01-18 2017-01-17 Apple Inc. Intelligent automated assistant
US10553209B2 (en) 2010-01-18 2020-02-04 Apple Inc. Systems and methods for hands-free notification summaries
US11423886B2 (en) 2010-01-18 2022-08-23 Apple Inc. Task flow identification based on user intent
US8892446B2 (en) 2010-01-18 2014-11-18 Apple Inc. Service orchestration for intelligent automated assistant
US10496753B2 (en) 2010-01-18 2019-12-03 Apple Inc. Automatically adapting user interfaces for hands-free interaction
US8903716B2 (en) 2010-01-18 2014-12-02 Apple Inc. Personalized vocabulary for digital assistant
US10705794B2 (en) 2010-01-18 2020-07-07 Apple Inc. Automatically adapting user interfaces for hands-free interaction
US9318108B2 (en) 2010-01-18 2016-04-19 Apple Inc. Intelligent automated assistant
US10679605B2 (en) 2010-01-18 2020-06-09 Apple Inc. Hands-free list-reading by intelligent automated assistant
US10706841B2 (en) 2010-01-18 2020-07-07 Apple Inc. Task flow identification based on user intent
US10276170B2 (en) 2010-01-18 2019-04-30 Apple Inc. Intelligent automated assistant
US10607140B2 (en) 2010-01-25 2020-03-31 Newvaluexchange Ltd. Apparatuses, methods and systems for a digital conversation management platform
US11410053B2 (en) 2010-01-25 2022-08-09 Newvaluexchange Ltd. Apparatuses, methods and systems for a digital conversation management platform
US10984327B2 (en) 2010-01-25 2021-04-20 New Valuexchange Ltd. Apparatuses, methods and systems for a digital conversation management platform
US10984326B2 (en) 2010-01-25 2021-04-20 Newvaluexchange Ltd. Apparatuses, methods and systems for a digital conversation management platform
US10607141B2 (en) 2010-01-25 2020-03-31 Newvaluexchange Ltd. Apparatuses, methods and systems for a digital conversation management platform
US9633660B2 (en) 2010-02-25 2017-04-25 Apple Inc. User profiling for voice input processing
US10049675B2 (en) 2010-02-25 2018-08-14 Apple Inc. User profiling for voice input processing
US8744091B2 (en) 2010-11-12 2014-06-03 Apple Inc. Intelligibility control using ambient noise detection
US10762293B2 (en) 2010-12-22 2020-09-01 Apple Inc. Using parts-of-speech tagging and named entity recognition for spelling correction
US10102359B2 (en) 2011-03-21 2018-10-16 Apple Inc. Device access using voice authentication
US9262612B2 (en) 2011-03-21 2016-02-16 Apple Inc. Device access using voice authentication
US10706373B2 (en) 2011-06-03 2020-07-07 Apple Inc. Performing actions associated with task items that represent tasks to perform
US11120372B2 (en) 2011-06-03 2021-09-14 Apple Inc. Performing actions associated with task items that represent tasks to perform
US10241644B2 (en) 2011-06-03 2019-03-26 Apple Inc. Actionable reminder entries
US10057736B2 (en) 2011-06-03 2018-08-21 Apple Inc. Active transport based notifications
US9798393B2 (en) 2011-08-29 2017-10-24 Apple Inc. Text correction processing
US10241752B2 (en) 2011-09-30 2019-03-26 Apple Inc. Interface for a virtual digital assistant
US10134385B2 (en) 2012-03-02 2018-11-20 Apple Inc. Systems and methods for name pronunciation
US9483461B2 (en) 2012-03-06 2016-11-01 Apple Inc. Handling speech synthesis of content for multiple languages
US9953088B2 (en) 2012-05-14 2018-04-24 Apple Inc. Crowd sourcing information to fulfill user requests
US10079014B2 (en) 2012-06-08 2018-09-18 Apple Inc. Name recognition system
US9576574B2 (en) 2012-09-10 2017-02-21 Apple Inc. Context-sensitive handling of interruptions by intelligent digital assistant
US9971774B2 (en) 2012-09-19 2018-05-15 Apple Inc. Voice-based media searching
US10199051B2 (en) 2013-02-07 2019-02-05 Apple Inc. Voice trigger for a digital assistant
US10978090B2 (en) 2013-02-07 2021-04-13 Apple Inc. Voice trigger for a digital assistant
US9368114B2 (en) 2013-03-14 2016-06-14 Apple Inc. Context-sensitive handling of interruptions
US9697822B1 (en) 2013-03-15 2017-07-04 Apple Inc. System and method for updating an adaptive speech recognition model
US9922642B2 (en) 2013-03-15 2018-03-20 Apple Inc. Training an at least partial voice command system
US9620104B2 (en) 2013-06-07 2017-04-11 Apple Inc. System and method for user-specified pronunciation of words for speech synthesis and recognition
US9633674B2 (en) 2013-06-07 2017-04-25 Apple Inc. System and method for detecting errors in interactions with a voice-based digital assistant
US9966060B2 (en) 2013-06-07 2018-05-08 Apple Inc. System and method for user-specified pronunciation of words for speech synthesis and recognition
US9582608B2 (en) 2013-06-07 2017-02-28 Apple Inc. Unified ranking with entropy-weighted information for phrase-based semantic auto-completion
US10657961B2 (en) 2013-06-08 2020-05-19 Apple Inc. Interpreting and acting upon commands that involve sharing information with remote devices
US9966068B2 (en) 2013-06-08 2018-05-08 Apple Inc. Interpreting and acting upon commands that involve sharing information with remote devices
US10185542B2 (en) 2013-06-09 2019-01-22 Apple Inc. Device, method, and graphical user interface for enabling conversation persistence across two or more instances of a digital assistant
US10176167B2 (en) 2013-06-09 2019-01-08 Apple Inc. System and method for inferring user intent from speech inputs
US9300784B2 (en) 2013-06-13 2016-03-29 Apple Inc. System and method for emergency calls initiated by voice command
US10791216B2 (en) 2013-08-06 2020-09-29 Apple Inc. Auto-activating smart responses based on activities from remote devices
US9620105B2 (en) 2014-05-15 2017-04-11 Apple Inc. Analyzing audio input for efficient speech and music recognition
US10592095B2 (en) 2014-05-23 2020-03-17 Apple Inc. Instantaneous speaking of content on touch devices
US9502031B2 (en) 2014-05-27 2016-11-22 Apple Inc. Method for supporting dynamic grammars in WFST-based ASR
US10083690B2 (en) 2014-05-30 2018-09-25 Apple Inc. Better resolution when referencing to concepts
US10078631B2 (en) 2014-05-30 2018-09-18 Apple Inc. Entropy-guided text prediction using combined word and character n-gram language models
US10497365B2 (en) 2014-05-30 2019-12-03 Apple Inc. Multi-command single utterance input method
US9966065B2 (en) 2014-05-30 2018-05-08 Apple Inc. Multi-command single utterance input method
US9842101B2 (en) 2014-05-30 2017-12-12 Apple Inc. Predictive conversion of language input
US10169329B2 (en) 2014-05-30 2019-01-01 Apple Inc. Exemplar-based natural language processing
US10170123B2 (en) 2014-05-30 2019-01-01 Apple Inc. Intelligent assistant for home automation
US9785630B2 (en) 2014-05-30 2017-10-10 Apple Inc. Text prediction using combined word N-gram and unigram language models
US9760559B2 (en) 2014-05-30 2017-09-12 Apple Inc. Predictive text input
US9734193B2 (en) 2014-05-30 2017-08-15 Apple Inc. Determining domain salience ranking from ambiguous words in natural speech
US9715875B2 (en) 2014-05-30 2017-07-25 Apple Inc. Reducing the need for manual start/end-pointing and trigger phrases
US11133008B2 (en) 2014-05-30 2021-09-28 Apple Inc. Reducing the need for manual start/end-pointing and trigger phrases
US10289433B2 (en) 2014-05-30 2019-05-14 Apple Inc. Domain specific language for encoding assistant dialog
US11257504B2 (en) 2014-05-30 2022-02-22 Apple Inc. Intelligent assistant for home automation
US9633004B2 (en) 2014-05-30 2017-04-25 Apple Inc. Better resolution when referencing to concepts
US9430463B2 (en) 2014-05-30 2016-08-30 Apple Inc. Exemplar-based natural language processing
US9668024B2 (en) 2014-06-30 2017-05-30 Apple Inc. Intelligent automated assistant for TV user interactions
US10659851B2 (en) 2014-06-30 2020-05-19 Apple Inc. Real-time digital assistant knowledge updates
US10904611B2 (en) 2014-06-30 2021-01-26 Apple Inc. Intelligent automated assistant for TV user interactions
US9338493B2 (en) 2014-06-30 2016-05-10 Apple Inc. Intelligent automated assistant for TV user interactions
US10446141B2 (en) 2014-08-28 2019-10-15 Apple Inc. Automatic speech recognition based on user feedback
US10431204B2 (en) 2014-09-11 2019-10-01 Apple Inc. Method and apparatus for discovering trending terms in speech requests
US9818400B2 (en) 2014-09-11 2017-11-14 Apple Inc. Method and apparatus for discovering trending terms in speech requests
US10789041B2 (en) 2014-09-12 2020-09-29 Apple Inc. Dynamic thresholds for always listening speech trigger
US9606986B2 (en) 2014-09-29 2017-03-28 Apple Inc. Integrated word N-gram and class M-gram language models
US9668121B2 (en) 2014-09-30 2017-05-30 Apple Inc. Social reminders
US9886432B2 (en) 2014-09-30 2018-02-06 Apple Inc. Parsimonious handling of word inflection via categorical stem + suffix N-gram language models
US9986419B2 (en) 2014-09-30 2018-05-29 Apple Inc. Social reminders
US9646609B2 (en) 2014-09-30 2017-05-09 Apple Inc. Caching apparatus for serving phonetic pronunciations
US10127911B2 (en) 2014-09-30 2018-11-13 Apple Inc. Speaker identification and unsupervised speaker adaptation techniques
US10074360B2 (en) 2014-09-30 2018-09-11 Apple Inc. Providing an indication of the suitability of speech recognition
US10552013B2 (en) 2014-12-02 2020-02-04 Apple Inc. Data detection
US11556230B2 (en) 2014-12-02 2023-01-17 Apple Inc. Data detection
US9711141B2 (en) 2014-12-09 2017-07-18 Apple Inc. Disambiguating heteronyms in speech synthesis
US9865280B2 (en) 2015-03-06 2018-01-09 Apple Inc. Structured dictation using intelligent automated assistants
US10567477B2 (en) 2015-03-08 2020-02-18 Apple Inc. Virtual assistant continuity
US9886953B2 (en) 2015-03-08 2018-02-06 Apple Inc. Virtual assistant activation
US9721566B2 (en) 2015-03-08 2017-08-01 Apple Inc. Competing devices responding to voice triggers
US10311871B2 (en) 2015-03-08 2019-06-04 Apple Inc. Competing devices responding to voice triggers
US11087759B2 (en) 2015-03-08 2021-08-10 Apple Inc. Virtual assistant activation
US9899019B2 (en) 2015-03-18 2018-02-20 Apple Inc. Systems and methods for structured stem and suffix language models
US9842105B2 (en) 2015-04-16 2017-12-12 Apple Inc. Parsimonious continuous-space phrase representations for natural language processing
US10083688B2 (en) 2015-05-27 2018-09-25 Apple Inc. Device voice control for selecting a displayed affordance
US10127220B2 (en) 2015-06-04 2018-11-13 Apple Inc. Language identification from short strings
US10101822B2 (en) 2015-06-05 2018-10-16 Apple Inc. Language input correction
US10255907B2 (en) 2015-06-07 2019-04-09 Apple Inc. Automatic accent detection using acoustic models
US10186254B2 (en) 2015-06-07 2019-01-22 Apple Inc. Context-based endpoint detection
US11025565B2 (en) 2015-06-07 2021-06-01 Apple Inc. Personalized prediction of responses for instant messaging
US11500672B2 (en) 2015-09-08 2022-11-15 Apple Inc. Distributed personal assistant
US10671428B2 (en) 2015-09-08 2020-06-02 Apple Inc. Distributed personal assistant
US10747498B2 (en) 2015-09-08 2020-08-18 Apple Inc. Zero latency digital assistant
US9697820B2 (en) 2015-09-24 2017-07-04 Apple Inc. Unit-selection text-to-speech synthesis using concatenation-sensitive neural networks
US11010550B2 (en) 2015-09-29 2021-05-18 Apple Inc. Unified language modeling framework for word prediction, auto-completion and auto-correction
US10366158B2 (en) 2015-09-29 2019-07-30 Apple Inc. Efficient word encoding for recurrent neural network language models
US11587559B2 (en) 2015-09-30 2023-02-21 Apple Inc. Intelligent device identification
US10691473B2 (en) 2015-11-06 2020-06-23 Apple Inc. Intelligent automated assistant in a messaging environment
US11526368B2 (en) 2015-11-06 2022-12-13 Apple Inc. Intelligent automated assistant in a messaging environment
US10049668B2 (en) 2015-12-02 2018-08-14 Apple Inc. Applying neural network language models to weighted finite state transducers for automatic speech recognition
US10223066B2 (en) 2015-12-23 2019-03-05 Apple Inc. Proactive assistance based on dialog communication between devices
US10446143B2 (en) 2016-03-14 2019-10-15 Apple Inc. Identification of voice inputs providing credentials
US9934775B2 (en) 2016-05-26 2018-04-03 Apple Inc. Unit-selection text-to-speech synthesis based on predicted concatenation parameters
US9972304B2 (en) 2016-06-03 2018-05-15 Apple Inc. Privacy preserving distributed evaluation framework for embedded personalized systems
US10249300B2 (en) 2016-06-06 2019-04-02 Apple Inc. Intelligent list reading
US11069347B2 (en) 2016-06-08 2021-07-20 Apple Inc. Intelligent automated assistant for media exploration
US10049663B2 (en) 2016-06-08 2018-08-14 Apple, Inc. Intelligent automated assistant for media exploration
US10354011B2 (en) 2016-06-09 2019-07-16 Apple Inc. Intelligent automated assistant in a home environment
US11037565B2 (en) 2016-06-10 2021-06-15 Apple Inc. Intelligent digital assistant in a multi-tasking environment
US10733993B2 (en) 2016-06-10 2020-08-04 Apple Inc. Intelligent digital assistant in a multi-tasking environment
US10509862B2 (en) 2016-06-10 2019-12-17 Apple Inc. Dynamic phrase expansion of language input
US10490187B2 (en) 2016-06-10 2019-11-26 Apple Inc. Digital assistant providing automated status report
US10067938B2 (en) 2016-06-10 2018-09-04 Apple Inc. Multilingual word prediction
US10192552B2 (en) 2016-06-10 2019-01-29 Apple Inc. Digital assistant providing whispered speech
US11152002B2 (en) 2016-06-11 2021-10-19 Apple Inc. Application integration with a digital assistant
US10269345B2 (en) 2016-06-11 2019-04-23 Apple Inc. Intelligent task discovery
US10297253B2 (en) 2016-06-11 2019-05-21 Apple Inc. Application integration with a digital assistant
US10089072B2 (en) 2016-06-11 2018-10-02 Apple Inc. Intelligent device arbitration and control
US10521466B2 (en) 2016-06-11 2019-12-31 Apple Inc. Data driven natural language event detection and classification
US10593346B2 (en) 2016-12-22 2020-03-17 Apple Inc. Rank-reduced token representation for automatic speech recognition
US11405466B2 (en) 2017-05-12 2022-08-02 Apple Inc. Synchronization and task delegation of a digital assistant
US10791176B2 (en) 2017-05-12 2020-09-29 Apple Inc. Synchronization and task delegation of a digital assistant
US10810274B2 (en) 2017-05-15 2020-10-20 Apple Inc. Optimizing dialogue policy decisions for digital assistants using implicit feedback

Also Published As

Publication number Publication date
PL329194A1 (en) 1999-03-15
BR9708516A (en) 1999-08-03
KR100443703B1 (en) 2004-11-10
JP2000508487A (en) 2000-07-04
EP0891652B1 (en) 2003-03-12
US5790671A (en) 1998-08-04
DE69719739D1 (en) 2003-04-17
EP0891652A1 (en) 1999-01-20
CN1098559C (en) 2003-01-08
KR20000005187A (en) 2000-01-25
AU709329B2 (en) 1999-08-26
MY113948A (en) 2002-06-29
PL182745B1 (en) 2002-02-28
CN1220056A (en) 1999-06-16
JP4057062B2 (en) 2008-03-05
HK1019669A1 (en) 2000-02-18
AU2605997A (en) 1997-10-29

Similar Documents

Publication Publication Date Title
US5790671A (en) Method for automatically adjusting audio response for improved intelligibility
US10560774B2 (en) Headset mode selection
CN105979415B (en) A kind of noise-reduction method, device and the noise cancelling headphone of the gain of automatic adjusument noise reduction
US5771297A (en) Electronic audio device and method of operation
US6094481A (en) Telephone having automatic gain control means
CA2107316C (en) Electronic cancellation of ambient noise in telephone receivers
EP1536666A2 (en) Hearing aid and processes for adaptively procesing signals therein
JP2730868B2 (en) Audio system and method for increasing intelligibility
WO2001039370A2 (en) Signal processing system and method
WO2008076517A1 (en) Dynamically learning a user's response via user-preferred audio settings in response to different noise environments
CN1988737B (en) System for controlling a transfer function of a hearing aid
CN1829253A (en) Mobile terminal with receiving volume automatic regualting function and its volume regulation method
US20060014570A1 (en) Mobile communication terminal
JP2002232247A (en) Adaptive sound quality and sound volume controller, audio system using adaptive sound quality and sound volume controller, communication terminal device and information terminal device
EP1829028A1 (en) Method and apparatus for adaptive sound processing parameters
US20020120457A1 (en) Method and system for adjusting the dynamic range of a digital-to-analog converter in a wireless communications device
JP2586847B2 (en) Electronic telephone
GB2334637A (en) A mobile transceiver in which the level of the received audio is controlled in dependence on the power of the signal from the microphone
JP3731228B2 (en) Audio signal transmitting / receiving apparatus and reception volume control method
JPS60214113A (en) Automobile telephone set adaptor
JPH07221832A (en) Telephone set and method for controlling its frequency characteristic
CN114513733A (en) Auxiliary listening device with intelligent volume adjustment
CN105827807A (en) Volume control method and terminal device
CN117221764A (en) Wireless terminal intercom system and intelligent intercom method
CN114446315A (en) Communication device and method for adjusting output side tone

Legal Events

Date Code Title Description
WWE Wipo information: entry into national phase

Ref document number: 97194979.4

Country of ref document: CN

AK Designated states

Kind code of ref document: A1

Designated state(s): AL AM AT AU AZ BA BB BG BR BY CA CH CN CU CZ DE DK EE ES FI GB GE HU IL IS JP KE KG KP KR KZ LC LK LR LS LT LU LV MD MG MK MN MW MX NO NZ PL PT RO RU SD SE SG SI SK TJ TM TR TT UA UG UZ VN AM AZ BY KG KZ MD RU TJ TM

AL Designated countries for regional patents

Kind code of ref document: A1

Designated state(s): GH KE LS MW SD SZ UG AT BE CH DE DK ES FI FR GB GR IE IT LU MC NL PT SE BF BJ CF CG

DFPE Request for preliminary examination filed prior to expiration of 19th month from priority date (pct application filed before 20040101)
121 Ep: the epo has been informed by wipo that ep was designated in this application
WWE Wipo information: entry into national phase

Ref document number: 1019980707861

Country of ref document: KR

Ref document number: PA/A/1998/008089

Country of ref document: MX

WWE Wipo information: entry into national phase

Ref document number: 1997917831

Country of ref document: EP

WWP Wipo information: published in national office

Ref document number: 1997917831

Country of ref document: EP

REG Reference to national code

Ref country code: DE

Ref legal event code: 8642

NENP Non-entry into the national phase

Ref country code: CA

WWP Wipo information: published in national office

Ref document number: 1019980707861

Country of ref document: KR

WWR Wipo information: refused in national office

Ref document number: 1019980707861

Country of ref document: KR

WWG Wipo information: grant in national office

Ref document number: 1997917831

Country of ref document: EP