EP0411360A1 - Method and apparatus for interference suppression in speech signals - Google Patents

Method and apparatus for interference suppression in speech signals Download PDF

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Publication number
EP0411360A1
EP0411360A1 EP90113320A EP90113320A EP0411360A1 EP 0411360 A1 EP0411360 A1 EP 0411360A1 EP 90113320 A EP90113320 A EP 90113320A EP 90113320 A EP90113320 A EP 90113320A EP 0411360 A1 EP0411360 A1 EP 0411360A1
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Prior art keywords
signal
audio signal
adaptive filter
noise
speech
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EP90113320A
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German (de)
French (fr)
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EP0411360B1 (en
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Jürgen Dr. Kässer
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Blaupunkt Werke GmbH
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Blaupunkt Werke GmbH
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    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L21/00—Processing of the speech or voice signal to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
    • G10L21/02—Speech enhancement, e.g. noise reduction or echo cancellation
    • G10L21/0208—Noise filtering
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L21/00—Processing of the speech or voice signal to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
    • G10L21/02—Speech enhancement, e.g. noise reduction or echo cancellation
    • G10L21/0208—Noise filtering
    • G10L21/0216—Noise filtering characterised by the method used for estimating noise
    • G10L2021/02161—Number of inputs available containing the signal or the noise to be suppressed
    • G10L2021/02166—Microphone arrays; Beamforming
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
    • H04R2410/00—Microphones
    • H04R2410/05—Noise reduction with a separate noise microphone
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
    • H04R2499/00—Aspects covered by H04R or H04S not otherwise provided for in their subgroups
    • H04R2499/10—General applications
    • H04R2499/13—Acoustic transducers and sound field adaptation in vehicles

Definitions

  • the invention is based on a method according to the preamble of the main claim and further comprises an arrangement for carrying out the method according to the invention.
  • the object of the present invention is to provide a method for the interference-free speech signals and a circuit arrangement for carrying out this method, according to which the voice signals can be supplied to a suitable speech recognition arrangement.
  • the inventive method with the characterizing features of the main claim has the advantage that the interference signals generated by disturbing sound events occurring are suppressed with a high degree of certainty.
  • the for Arrangements required to carry out the method according to the invention can be implemented in a simple manner by means of modern semiconductor technology.
  • Fig. 1 only a part of the passenger compartment 1 and the engine compartment 2 are shown of a motor vehicle.
  • a microphone 3 is arranged in the passenger compartment, for example above the windshield, and picks up speech, driving noises and sound from a car radio 5, which is emitted by a loudspeaker 4.
  • the sum signal ⁇ (t) emitted by the microphone 3 is fed to an arrangement 6 for carrying out the method according to the invention, at the output 7 of which the speech signal D2 (t), which is largely free of interference, can be removed.
  • Another microphone 8 is arranged in the engine compartment 2, picks up driving noises and forwards them as a signal F (t) to the arrangement 6. Finally, the audio signal fed to the loudspeaker 4 is also fed to the arrangement 6 as signal A (t). If no monaural reproduction is provided on the car radio, a plurality of audio signals A (t) can be taken and fed to the arrangement 6.
  • the respective acoustic and electrical signals are equated.
  • the signal picked up by the microphone 3 as a result of the sound radiation from the loudspeaker 4 differs from the signal A (t) by an initially unknown transfer function.
  • the acting on the microphone 3 from the speaker 4 signal is therefore referred to as A1 (t).
  • the driving noise F 1 (t) recorded by the microphone 3 differs from the driving noise F (t) recorded by the microphone 8.
  • Adaptive filters which are provided in the arrangement according to FIG. 2, are used for this purpose.
  • the signals ⁇ (t) and F (t) are supplied by the microphones 3, 8 via suitable amplifiers 11, 12 and low-pass filters 13, 14 analog / digital converters 15, 16.
  • the audio signal A (t) is also fed to an analog / digital converter 18 via a low-pass filter 17.
  • the low-pass filters limit the bandwidth of the signals to a value that is necessary for the downstream speech recognition system.
  • a first adaptive filter 19 is used together with a correlator 20 to derive the signal A1 (t) from the signal A (t).
  • the signal A1 (t) is then subtracted from the sum signal ⁇ (t), whereby the signal D1 (t) arises.
  • Another adaptive filter 22 and a correlator 23 are provided for deriving the signal F1 (t) from the signal F (t). With the help of a further subtractor 24, the signal F 1 (t) is subtracted from the signal D 1 (t). At the output 7, the signal D2 (t) is thus available for forwarding to a speech recognition system.
  • the target function takes advantage of the fact that for the correct H AZ the signal [S (t) + F1 (t)] is uncorrelated to the audio signal A (t).
  • the filter coefficients can be calculated in detail using standard methods of digital signal processing, as described, for example, in the article "Adaptive Noise Canceling: Principles and Applications", Proceedings of the IEEE, Vol. 63, No. 12, December 1975, pages 1692 to 1716.
  • the adaptive filters and the correlators can be implemented with suitably programmed signal processors.
  • the signal D 1 (t) which is already freed from the audio signals, is used, which is composed of driving noise and speech. These are also uncorrelated, so that the method used for the audio signal can also be used for the noise signal.

Abstract

In a method and apparatus for interference suppression in speech signals for speech recognition purposes, the speech being converted along with other sound phenomena into an electric signal (summation signal) and the other sound phenomena consisting of noises and a sound phenomenon produced by electro-acoustic conversion of an audio signal, the noises are furthermore recorded and converted into a noise signal. The noise signal and the audio signal are passed via adaptive filters and subtracted from the summation signal. The resulting signal is compared with the noise signal on the one hand and with the audio signal on the other hand. The results of the comparison are used to control the adaptive filters. <IMAGE>

Description

Die Erfindung geht aus von einem Verfahren nach der Gattung des Hauptanspruchs und umfaßt ferner eine Anordnung zur Durchführung des erfindungsgemäßen Verfahrens.The invention is based on a method according to the preamble of the main claim and further comprises an arrangement for carrying out the method according to the invention.

Zur Erkennung von Sprache sind verschiedene Verfahren bekannt, bei denen jedoch die Erkennungssicherheit durch Hintergrundgeräusche beeinträchtigt wird. Derartige störende Schallereignisse treten beispielsweise in einem fahrenden Kraftfahrzeug auf, in welchem außerdem noch das Autoradio eingeschaltet ist.Various methods are known for recognizing speech, but in which the recognition reliability is impaired by background noise. Such disturbing sound events occur, for example, in a moving motor vehicle, in which the car radio is also switched on.

Aufgabe der vorliegenden Erfindung ist es, ein Verfahren zur Störbefreiung von Sprachsignalen und eine Schaltungsanordnung zur Durchführung dieses Verfahrens anzugeben, wonach die Sprachsignale einer geeigneten Spracherkennungsanordnung zugeführt werden können.The object of the present invention is to provide a method for the interference-free speech signals and a circuit arrangement for carrying out this method, according to which the voice signals can be supplied to a suitable speech recognition arrangement.

Das erfindungsgemäße Verfahren mit den kennzeichnenden Merkmalen des Hauptanspruchs hat den Vorteil, daß die durch auftretende störende Schallereignisse erzeugten Störsignale mit hoher Sicherheit unterdrückt werden. Die zur Durchführung des erfindungsgemäßen Verfahrens erforderlichen Anordnungen können mit Mitteln der modernen Halbleitertechnik in einfacher Weise realisiert werden.The inventive method with the characterizing features of the main claim has the advantage that the interference signals generated by disturbing sound events occurring are suppressed with a high degree of certainty. The for Arrangements required to carry out the method according to the invention can be implemented in a simple manner by means of modern semiconductor technology.

Durch die in den Unteransprüchen aufgeführten Maßnahmen sind vorteilhafte Weiterbildungen und Verbesserungen der im Hauptanspruch angegebenen Erfindung und vorteilhafte Anordnungen zur Durchführung des erfindungsgemäßen Verfahrens möglich.The measures listed in the subclaims enable advantageous developments and improvements of the invention specified in the main claim and advantageous arrangements for carrying out the method according to the invention.

Ein Ausführungsbeispiel der Erfindung ist in der Zeichnung anhand mehrerer Figuren dargestellt und in der nachfolgenden Beschreibung näher erläutert. Es zeigt:

  • Fig. 1 eine schematische Darstellung einer erfindungsgemäßen Anordnung in einem Kraftfahrzeug und
  • Fig. 2 ein Blockschaltbild einer erfindungsgemäßen Anordnung.
An embodiment of the invention is shown in the drawing using several figures and explained in more detail in the following description. It shows:
  • Fig. 1 is a schematic representation of an arrangement according to the invention in a motor vehicle and
  • Fig. 2 is a block diagram of an arrangement according to the invention.

Gleiche Teile sind in den Figuren mit gleichen Bezugszeichen versehen.Identical parts are provided with the same reference symbols in the figures.

In Fig. 1 sind von einem Kraftfahrzeug lediglich je ein Teil des Fahrgastraums 1 und des Motorraums 2 dargestellt. Ein Mikrofon 3 ist im Fahrgastraum, beispielsweise oberhalb der Windschutzscheibe, angeordnet und nimmt Sprache, Fahrgeräusche und Schall von einem Autoradio 5 auf, der von einem Lautsprecher 4 abgestrahlt wird. Das vom Mikrofon 3 abgegebene Summensignal Σ(t) wird einer Anordnung 6 zur Durchführung des erfindungsgemäßen Verfahrens zugeführt, an deren Ausgang 7 das weitgehend von Störungen befreite Sprachsignal D₂(t) abnehmbar ist.In Fig. 1, only a part of the passenger compartment 1 and the engine compartment 2 are shown of a motor vehicle. A microphone 3 is arranged in the passenger compartment, for example above the windshield, and picks up speech, driving noises and sound from a car radio 5, which is emitted by a loudspeaker 4. The sum signal Σ (t) emitted by the microphone 3 is fed to an arrangement 6 for carrying out the method according to the invention, at the output 7 of which the speech signal D₂ (t), which is largely free of interference, can be removed.

Ein weiteres Mikrofon 8 ist im Motorraum 2 angeordnet, nimmt Fahrgeräusche auf und leitet diese als Signal F(t) an die Anordnung 6 weiter. Schließlich wird das dem Lautsprecher 4 zugeführte Audiosignal als Signal A(t) ebenfalls der Anordnung 6 zugeleitet. Falls keine monaurale Wiedergabe beim Autoradio vorgesehen ist, können mehrere Audiosignale A(t) abgenommen und der Anordnung 6 zugeführt werden.Another microphone 8 is arranged in the engine compartment 2, picks up driving noises and forwards them as a signal F (t) to the arrangement 6. Finally, the audio signal fed to the loudspeaker 4 is also fed to the arrangement 6 as signal A (t). If no monaural reproduction is provided on the car radio, a plurality of audio signals A (t) can be taken and fed to the arrangement 6.

Bei den folgenden Betrachtungen werden die jeweiligen akustischen und elektrischen Signale gleichgesetzt. Das infolge der Schallabstrahlung des Lautsprechers 4 vom Mikrofon 3 aufgenommene Signal unterscheidet sich vom Signal A(t) durch eine zunächst unbekannte Übertragungsfunktion. Das auf das Mikrofon 3 einwirkende vom Lautsprecher 4 stammende Signal wird daher als A₁(t) bezeichnet. In ähnlicher Weise unterscheidet sich das vom Mikrofon 3 aufgenommene Fahrgeräusch F₁(t) von dem durch das Mikrofon 8 aufgenommenen Fahrgeräusch F(t). Das Summensignal ergibt sich somit zu Σ(t) = S(t) + F₁(t) + A₁(t).In the following considerations, the respective acoustic and electrical signals are equated. The signal picked up by the microphone 3 as a result of the sound radiation from the loudspeaker 4 differs from the signal A (t) by an initially unknown transfer function. The acting on the microphone 3 from the speaker 4 signal is therefore referred to as A₁ (t). In a similar manner, the driving noise F 1 (t) recorded by the microphone 3 differs from the driving noise F (t) recorded by the microphone 8. The sum signal thus results in Σ (t) = S (t) + F₁ (t) + A₁ (t).

Die Anteile des Summensignals F₁(t) und A₁(t) sind A₁(t) = HA x A(t) und F₁(t) = HF x F(t), wobei HA und HF die entsprechenden Übertragungsfunktionen sind und x eine Faltung bedeutet.The proportions of the sum signal F₁ (t) and A₁ (t) are A₁ (t) = H A x A (t) and F₁ (t) = H F x F (t), where H A and H F are the corresponding transfer functions and x means a fold.

Um die Anteile F₁(t) und A₁(t) aus dem Summensignal zu entfernen, ist eine Kenntnis der zunächst unbekannten Funktionen HF und HA erforderlich. Hierzu dienen adaptive Filter, die in der Anordnung nach Fig. 2 vorgesehen sind. Die Signale Σ(t) und F(t) werden von den Mikrofonen 3, 8 über geeignete Verstärker 11, 12 und Tiefpaßfilter 13, 14 Analog/Digital-Wandlern 15, 16 zugeführt. Das Audiosignal A(t) wird ebenfalls über ein Tiefpaßfilter 17 einem Analog/Digital-Wandler 18 zugeleitet. Die Tiefpaßfilter begrenzen die Bandbreite der Signale auf einen Wert, der für das nachgeschaltete Spracherkennungssystem notwendig ist.In order to remove the components F₁ (t) and A₁ (t) from the sum signal, knowledge of the functions H F and H A which are initially unknown is required. Adaptive filters, which are provided in the arrangement according to FIG. 2, are used for this purpose. The signals Σ (t) and F (t) are supplied by the microphones 3, 8 via suitable amplifiers 11, 12 and low-pass filters 13, 14 analog / digital converters 15, 16. The audio signal A (t) is also fed to an analog / digital converter 18 via a low-pass filter 17. The low-pass filters limit the bandwidth of the signals to a value that is necessary for the downstream speech recognition system.

Ein erstes adaptives Filter 19 dient zusammen mit einem Korrelator 20 zur Ableitung des Signals A₁(t) aus dem Signal A(t). In einem Subtrahierer 21 wird dann das Signal A₁(t) von dem Summensignal Σ(t) subtrahiert, wodurch das Signal D₁(t) entsteht.A first adaptive filter 19 is used together with a correlator 20 to derive the signal A₁ (t) from the signal A (t). In a subtractor 21, the signal A₁ (t) is then subtracted from the sum signal Σ (t), whereby the signal D₁ (t) arises.

Ein weiteres adaptives Filter 22 und ein Korrelator 23 sind zur Ableitung des Signals F₁(t) aus dem Signal F(t) vorgesehen. Mit Hilfe eines weiteren Subtrahierers 24 wird das Signal F₁(t) von dem Signal D₁(t) subtrahiert. Am Ausgang 7 steht somit das Signal D₂(t) zur Weiterleitung an ein Spracherkennungssystem zur Verfügung.Another adaptive filter 22 and a correlator 23 are provided for deriving the signal F₁ (t) from the signal F (t). With the help of a further subtractor 24, the signal F 1 (t) is subtracted from the signal D 1 (t). At the output 7, the signal D₂ (t) is thus available for forwarding to a speech recognition system.

Das adaptive Filter 19 ist ein nichtrekursives Filter der Ordnung ungefähr 100 mit der Zielfunktion
Z₁(t) = (Σ(t)-HAZ x A) ■ A(t) = 0 für HAZ = HA,      (1)
wobei ■ a die Korrelationsfunktion bedeutet. Die Zielfunktion nutzt aus, daß für das richtige HAZ das Signal [S(t) + F₁(t)] unkorreliert zum Audiosignal A(t) ist.The adaptive filter 19 is a non-recursive filter of approximately 100 order with the objective function
Z₁ (t) = (Σ (t) -H AZ x A) ■ A (t) = 0 for H AZ = H A , (1)
where ■ a means the correlation function. The target function takes advantage of the fact that for the correct H AZ the signal [S (t) + F₁ (t)] is uncorrelated to the audio signal A (t).

Die Berechnung der Filterkoeffizienten im einzelnen kann nach Standardverfahren der digitalen Signalverarbeitung erfolgen, wie sie beispielsweise im Aufsatz "Adaptive Noise Cancelling: Principles and Applications", Proceedings of the IEEE, Vol. 63, No. 12, December 1975, Seiten 1692 bis 1716 beschrieben sind. Die adaptiven Filter und die Korrelatoren können mit geeignet programmierten Signalprozessoren realisiert werden.The filter coefficients can be calculated in detail using standard methods of digital signal processing, as described, for example, in the article "Adaptive Noise Canceling: Principles and Applications", Proceedings of the IEEE, Vol. 63, No. 12, December 1975, pages 1692 to 1716. The adaptive filters and the correlators can be implemented with suitably programmed signal processors.

Das Ausgangssignal D₁(t) des Subtrahierers 21 wird sowohl im Korrelator 20 verwendet als auch dem weiteren Subtrahierer 24 zugeführt. Es ergibt sich zu D₁(t) = Σ(t) - HAZ x A(t).The output signal D₁ (t) of the subtractor 21 is used both in the correlator 20 and supplied to the further subtractor 24. It results in D₁ (t) = Σ (t) - H AZ x A (t).

Zur Bestimmung von HF wird das bereits von den Audiosignalen befreite Signal D₁(t) verwendet, welches sich aus Fahrgeräusch und Sprache zusammensetzt. Diese sind ebenfalls unkorreliert, so daß sich das für das Audiosignal verwendete Verfahren auch für das Geräuschsignal anwenden läßt. Dabei ist die Zielfunktion
Z₂(t) = [(D₁(t) - HFZ x F(t)] ■ F(t) = 0 für HFZ = HF(t)      (2)To determine H F , the signal D 1 (t), which is already freed from the audio signals, is used, which is composed of driving noise and speech. These are also uncorrelated, so that the method used for the audio signal can also be used for the noise signal. Here is the objective function
Z₂ (t) = [(D₁ (t) - H FZ x F (t)] ■ F (t) = 0 for H FZ = H F (t) (2)

Das Ausgangssignal des Subtrahieres 24 wird dann
D₂(t) = S(t) + (HF-HFZ)xF(t) + [(HA-HAZ)xA(t)] x F(t)      (3)The output signal of the subtractor 24 is then
D₂ (t) = S (t) + (H F -H FZ ) xF (t) + [(H A -H AZ ) xA (t)] x F (t) (3)

Aus Gleichung (3) ist ersichtlich, daß sich das Ausgangssignal D₂(t) umso mehr dem Signal S(t) nähert, je besser die Annäherung von HFZ an HF bzw. HAZ an HA erfolgt. Auch bei einer nicht vollständigen Annäherung erfolgt eine deutliche Reduzierung des Störanteils.From equation (3) it can be seen that the output signal D₂ (t) approaches the signal S (t) the better the approximation of H FZ to H F or H AZ to H A takes place. Even if the approach is incomplete, the interference component is significantly reduced.

Claims (9)

1. Verfahren zur Störbefreiung von Sprachsignalen zu Zwecken der Spracherkennung, wobei die Sprache zusammen mit anderen Schallereignissen in ein elektrisches Signal (Summensignal) umgewandelt wird und wobei die anderen Schallereignisse von einem durch elektro-akustische Wandlung eines Audiosignals entstandenen Schallereignis und Geräuschen bestehen, dadurch gekennzeichnet, daß ferner die Geräusche aufgenommen und in ein Geräuschsignal umgewandelt werden,
daß das Geräuschsignal und das Audiosignal über adaptive Filter geleitet und von dem Summensignal subtrahiert werden,
daß das resultierende Signal einerseits mit dem Geräuschsignal und andererseits mit dem Audiosignal verglichen wird und
daß die Vergleichsergebnisse zur Steuerung der adaptiven Filter verwendet werden.1. A method for the elimination of interference from speech signals for the purposes of speech recognition, the speech being converted together with other sound events into an electrical signal (sum signal) and the other sound events consisting of a sound event and noises produced by electro-acoustic conversion of an audio signal, characterized in that that the sounds are also recorded and converted into a sound signal,
that the noise signal and the audio signal are passed via adaptive filters and subtracted from the sum signal,
that the resulting signal is compared on the one hand with the noise signal and on the other hand with the audio signal and
that the comparison results are used to control the adaptive filters. 2. Verfahren nach Anspruch 1, dadurch gekennzeichnet, daß die Geräusche an ihrem Ursprung aufgenommen werden.2. The method according to claim 1, characterized in that the noises are recorded at their origin. 3. Verfahren nach Anspruch 1, dadurch gekennzeichnet, daß das Audiosignal, das Geräuschsignal und das Summensignal zuvor tiefpaßgefiltert und analog/digital-gewandelt werden.3. The method according to claim 1, characterized in that the audio signal, the noise signal and the sum signal are previously low-pass filtered and analog / digital converted. 4. Verfahren nach Anspruch 1, dadurch gekennzeichnet, daß in einem Kraftfahrzeug das Geräusch außerhalb des Fahrgastraums, die Sprache und die anderen Schallereignisse im Fahrgastraum aufgenommen werden und daß das Audiosignal einer Audiosignalquelle (Autoradio, Kassettenspieler, CD-Spieler) entnommen wird.4. The method according to claim 1, characterized in that the noise outside the passenger compartment, the speech and the other sound events in the passenger compartment are recorded and that the audio signal from an audio signal source (car radio, cassette player, CD player) is taken in a motor vehicle. 5. Anordnung zur Durchführung des Verfahrens nach Anspruch 1, dadurch gekennzeichnet, daß zum Vergleich des resultierenden Signals mit dem Audiosignal bzw. mit dem Geräuschsignal Korrelatoren (20, 23) vorgesehen sind.5. Arrangement for performing the method according to claim 1, characterized in that correlators (20, 23) are provided for comparing the resulting signal with the audio signal or with the noise signal. 6. Anordnung nach Anspruch 5, dadurch gekennzeichnet, daß das Summensignal von einem Mikrofon (3) im Fahrgastraum eines Kraftfahrzeugs über einen Verstärker (11) und einen Analog/Digital-Wandler (15) Mitteln (21, 24) zur Subtraktion anderer Signale vom Summensignal zuführbar ist
daß das Audiosignal über einen weiteren Analog/Digital-Wandler (18) einem ersten adaptiven Filter (19) und einem ersten Korrelator (20) zuführbar ist, welcher das erste adaptive Filter (19) steuert und welchem ferner die Differenz zwischen dem Summensignal und dem Ausgangssignal des ersten adaptiven Filters (19) zuführbar ist, und
daß das Geräuschsignal von einem weiteren, außerhalb des Fahrgastraums angeordneten Mikrofon (8) über einen weiteren Verstärker (12) und einen dritten Analog/Digital-Wandler (16) einem zweiten adaptiven Filter (22) und einem zweiten Korrelator (23) zuführbar ist, welcher das zweite adaptive Filter (22) steuert und welchem ferner die Differenz zwischen dem Summensignal und mindestens dem Ausgangssignal des zweiten adaptiven Filters zuführbar ist.6. Arrangement according to claim 5, characterized in that the sum signal from a microphone (3) in the passenger compartment of a motor vehicle via an amplifier (11) and an analog / digital converter (15) means (21, 24) for subtracting other signals from Sum signal can be supplied
that the audio signal can be fed via a further analog / digital converter (18) to a first adaptive filter (19) and a first correlator (20) which controls the first adaptive filter (19) and which furthermore the difference between the sum signal and the Output signal of the first adaptive filter (19) can be fed, and
that the noise signal can be fed from a further microphone (8) arranged outside the passenger compartment via a further amplifier (12) and a third analog / digital converter (16) to a second adaptive filter (22) and a second correlator (23), which controls the second adaptive filter (22) and to which the difference between the sum signal and at least the output signal of the second adaptive filter can also be fed. 7. Anordnung nach Anspruch 6, dadurch gekennzeichnet, daß den Analog/Digital-Wandlern (15, 16, 18) Tiefpaßfilter (13, 14, 17) vorgeschaltet sind.7. Arrangement according to claim 6, characterized in that the analog / digital converters (15, 16, 18) low-pass filter (13, 14, 17) are connected upstream. 8. Anordnung nach Anspruch 5, dadurch gekennzeichnet, daß die adaptiven Filter (19, 22) nichtrekursive Filter sind.8. Arrangement according to claim 5, characterized in that the adaptive filters (19, 22) are non-recursive filters. 9. Anordnung nach Anspruch 8, dadurch gekennzeichnet, daß die Ordnung der adaptiven Filter etwa 100 beträgt.9. Arrangement according to claim 8, characterized in that the order of the adaptive filter is approximately 100.
EP90113320A 1989-08-02 1990-07-12 Method and apparatus for interference suppression in speech signals Expired - Lifetime EP0411360B1 (en)

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DE3925589A DE3925589C2 (en) 1989-08-02 1989-08-02 Method and arrangement for the elimination of interference from speech signals
DE3925589 1989-08-02

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EP0411360A1 true EP0411360A1 (en) 1991-02-06
EP0411360B1 EP0411360B1 (en) 1994-09-07

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Cited By (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0624046A1 (en) * 1993-05-06 1994-11-09 Adam Opel Ag Noise-compensated hands-free communication apparatus in motor vehicles
EP0644526A1 (en) * 1993-09-20 1995-03-22 ALCATEL ITALIA S.p.A. Noise reduction method, in particular for automatic speech recognition, and filter for implementing the method
EP0729288A3 (en) * 1995-02-27 1999-06-30 Nec Corporation Noise canceler
WO2001024575A2 (en) * 1999-09-27 2001-04-05 Jaber Associates, L.L.C. Noise suppression system with dual microphone echo cancellation
EP1189031A2 (en) * 2000-09-19 2002-03-20 Robert Bosch Gmbh Method for processing audio signals
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EP0624046A1 (en) * 1993-05-06 1994-11-09 Adam Opel Ag Noise-compensated hands-free communication apparatus in motor vehicles
EP0644526A1 (en) * 1993-09-20 1995-03-22 ALCATEL ITALIA S.p.A. Noise reduction method, in particular for automatic speech recognition, and filter for implementing the method
EP0729288A3 (en) * 1995-02-27 1999-06-30 Nec Corporation Noise canceler
WO2001024575A2 (en) * 1999-09-27 2001-04-05 Jaber Associates, L.L.C. Noise suppression system with dual microphone echo cancellation
WO2001024575A3 (en) * 1999-09-27 2001-12-13 Jaber Associates L L C Noise suppression system with dual microphone echo cancellation
US7120261B1 (en) 1999-11-19 2006-10-10 Gentex Corporation Vehicle accessory microphone
US8682005B2 (en) 1999-11-19 2014-03-25 Gentex Corporation Vehicle accessory microphone
US7443988B2 (en) 1999-11-19 2008-10-28 Gentex Corporation Vehicle accessory microphone
EP1189031A2 (en) * 2000-09-19 2002-03-20 Robert Bosch Gmbh Method for processing audio signals
EP1189031A3 (en) * 2000-09-19 2004-03-31 Robert Bosch Gmbh Method for processing audio signals
US6882734B2 (en) 2001-02-14 2005-04-19 Gentex Corporation Vehicle accessory microphone
GB2374967B (en) * 2001-04-17 2005-06-01 Symbol Technologies Inc Arrangement for and method of establishing a logical relationship among peripherals in a wireless local area network
EP1447912A1 (en) * 2003-02-13 2004-08-18 Northrop Grumman Corporation Method and apparatus for adaptively compensating for an inaccuracy in an analog-to-digital converter
EP1879180A1 (en) * 2006-07-10 2008-01-16 Harman Becker Automotive Systems GmbH Reduction of background noise in hands-free systems
US7930175B2 (en) 2006-07-10 2011-04-19 Nuance Communications, Inc. Background noise reduction system
EP1914726A1 (en) * 2006-10-16 2008-04-23 SiTel Semiconductor B.V. base station of a telephone system and telephone system comprising such as a base station
WO2008048096A1 (en) * 2006-10-16 2008-04-24 Sitel Semiconductor B.V. Base station of a telephone system and telephone system comprising such as a base station
CN108538307A (en) * 2017-03-03 2018-09-14 罗伯特·博世有限公司 For the method and apparatus and voice control device for audio signal removal interference

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DE3925589A1 (en) 1991-02-14
EP0411360B1 (en) 1994-09-07

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