USRE44248E1 - System for transferring personalize matter from one computer to another - Google Patents
System for transferring personalize matter from one computer to another Download PDFInfo
- Publication number
- USRE44248E1 USRE44248E1 US13/436,519 US201213436519A USRE44248E US RE44248 E1 USRE44248 E1 US RE44248E1 US 201213436519 A US201213436519 A US 201213436519A US RE44248 E USRE44248 E US RE44248E
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- United States
- Prior art keywords
- computer
- user
- speech recognition
- voice model
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- Legal status (The legal status 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 status listed.)
- Expired - Lifetime, expires
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Images
Classifications
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/28—Constructional details of speech recognition systems
- G10L15/30—Distributed recognition, e.g. in client-server systems, for mobile phones or network applications
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/06—Creation of reference templates; Training of speech recognition systems, e.g. adaptation to the characteristics of the speaker's voice
- G10L15/065—Adaptation
- G10L15/07—Adaptation to the speaker
Abstract
Description
-
- 1. User clicks “Move voice model to Media” button.
- 2. A folder labeled “Users” is created on the destination media.
- 3. A “users.ini” file is created in the Users folder. This file is a logical translation from Username to a user file name that Dragon will open.
- 4. VMM then creates and writes the user specific registry information into a file called VMMinfo.txt
- 5. A “user” specific folder will be created in the Users folder. There are several files in the user specific folder.
- 6. The user as a result of the Dragon training process creates the files listed below. These files are copied to the CDWriter using the standard Dragon directory structure. Files included are:
audioin.dat | ||
Current Folder containing: | ||
topics (configuration file) | ||
options (configuration file) | ||
global.DVC | ||
Voice folder | ||
DD10User.sig | ||
DD10User.usr | ||
GeneralE Folder | ||
dd10voc1.voc | ||
dd10voc2.voc | ||
dd10voc3.voc | ||
dd10voc4.voc | ||
General.voc | ||
Shared Folder | ||
archive. voc | ||
-
- 1. VMM pops up a user selection window asking for drive containing the voice model.
- 2. After the drive is selected, VMM looks on the selected drive for the Users folder containing the voice models, specifically, the users.ini files.
- 3. If VMM does not find any users, a window pops up saying that no users were found with an OK button to click returning the user to the previous screen as illustrated in
FIG. 5 . - 4. If users exist, VMM then asks the user to select one of the voice models it found on the selected drive.
- 5. VMM then reads the file VMMInfo.txt file to determine the appropriate registry settings.
- 6. If the user already exists, VMM will prompt the user to ask if the existing user files should be overwritten.
- 7. If the user responds by clicking the OK button, then steps 8 onward will be executed, other wise VMM will go back to the main VMM screen.
- 8. If there is no user specific folder, then VMM creates the user specific folder in the standard Dragon hierarchical directory structure otherwise it uses the existing folder.
- 9. VMM then copies all the specific user files listed previously to the specific User folder.
- 10. VMM then configures the registry parameters for the selected user.
-
- 1. (Setup) Application used for LVVR is identified
- 2. (Tstart) A/D time is measured by logging the time the driver gets sound input. This can be accomplished through a peek message or for MSWindows; InmChannelAudio::IsIncoming, HRESULT IsIncoming(void); or other method.
- 3. (Pstart) Determine and log the when the speech processing engine has received the sound by using a function call (i.e. RealTimeGet).
- 4. (Pend) Determine and log the time when the speech engine has completed the translation using a function call (i.e. TimeOutGet).
- 5. (Tend) Determine when the graphics driver has displayed the text using a peek message or for MSWindows a function call (i.e. UI Text Event; TEXT_VALUE_CHANGED).
- 6. (Report) Calculate the times. For general performance Tend−Tstart will supply the performance delay. For further resolution to determine areas of throughput resistance, steps 2 and 3 can be used.
- Optimal features to enhance RAP Rate
- High-speed microprocessors
- Robust floating point features
- Large on chip and off chip cache memory 512 kb or more
- High-capacity/fast main memory (optimal 512 megabytes)
- Sound input device with performance focused on input in the range of the human voice
- An operating system specifically configured (tuned) for the application of voice recognition including:
- Removing any throughput resistance including processes that require main CPU clock cycles but don't provide advantage to LVVR.
- Removing operating system resources that use main memory or run in the background like schedulers, virus checking, or utilities that execute polling at specific time intervals or triggers.
- Removing applications that use main CPU floating point and moving that work to other microprocessors.
- Ensuring that any operating system or applications being used return allocated memory back to being available and not left locked out by the LVVR application.
Claims (74)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US13/436,519 USRE44248E1 (en) | 1999-09-29 | 2012-03-30 | System for transferring personalize matter from one computer to another |
Applications Claiming Priority (5)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US15663899P | 1999-09-29 | 1999-09-29 | |
US21450400P | 2000-06-28 | 2000-06-28 | |
US67632800A | 2000-09-29 | 2000-09-29 | |
US10/763,966 US7689416B1 (en) | 1999-09-29 | 2004-01-23 | System for transferring personalize matter from one computer to another |
US13/436,519 USRE44248E1 (en) | 1999-09-29 | 2012-03-30 | System for transferring personalize matter from one computer to another |
Related Parent Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US10/763,966 Reissue US7689416B1 (en) | 1999-09-29 | 2004-01-23 | System for transferring personalize matter from one computer to another |
Publications (1)
Publication Number | Publication Date |
---|---|
USRE44248E1 true USRE44248E1 (en) | 2013-05-28 |
Family
ID=42044656
Family Applications (2)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US10/763,966 Expired - Fee Related US7689416B1 (en) | 1999-09-29 | 2004-01-23 | System for transferring personalize matter from one computer to another |
US13/436,519 Expired - Lifetime USRE44248E1 (en) | 1999-09-29 | 2012-03-30 | System for transferring personalize matter from one computer to another |
Family Applications Before (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US10/763,966 Expired - Fee Related US7689416B1 (en) | 1999-09-29 | 2004-01-23 | System for transferring personalize matter from one computer to another |
Country Status (1)
Country | Link |
---|---|
US (2) | US7689416B1 (en) |
Cited By (3)
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US20130211568A1 (en) * | 2012-02-12 | 2013-08-15 | Skymedi Corporation | Automataed mass prodcution method and system thereof |
US9763024B2 (en) | 2015-04-09 | 2017-09-12 | Yahoo Holdings, Inc. | Mobile ghosting |
US20190378496A1 (en) * | 2018-06-07 | 2019-12-12 | Kabushiki Kaisha Toshiba | Recognition device, method and storage medium |
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FR2902542B1 (en) * | 2006-06-16 | 2012-12-21 | Gilles Vessiere Consultants | SEMANTIC, SYNTAXIC AND / OR LEXICAL CORRECTION DEVICE, CORRECTION METHOD, RECORDING MEDIUM, AND COMPUTER PROGRAM FOR IMPLEMENTING SAID METHOD |
US8949266B2 (en) | 2007-03-07 | 2015-02-03 | Vlingo Corporation | Multiple web-based content category searching in mobile search application |
US20080312934A1 (en) * | 2007-03-07 | 2008-12-18 | Cerra Joseph P | Using results of unstructured language model based speech recognition to perform an action on a mobile communications facility |
US8838457B2 (en) * | 2007-03-07 | 2014-09-16 | Vlingo Corporation | Using results of unstructured language model based speech recognition to control a system-level function of a mobile communications facility |
US20080221880A1 (en) * | 2007-03-07 | 2008-09-11 | Cerra Joseph P | Mobile music environment speech processing facility |
US10056077B2 (en) | 2007-03-07 | 2018-08-21 | Nuance Communications, Inc. | Using speech recognition results based on an unstructured language model with a music system |
US20090030691A1 (en) * | 2007-03-07 | 2009-01-29 | Cerra Joseph P | Using an unstructured language model associated with an application of a mobile communication facility |
US8886540B2 (en) * | 2007-03-07 | 2014-11-11 | Vlingo Corporation | Using speech recognition results based on an unstructured language model in a mobile communication facility application |
US8635243B2 (en) * | 2007-03-07 | 2014-01-21 | Research In Motion Limited | Sending a communications header with voice recording to send metadata for use in speech recognition, formatting, and search mobile search application |
US8886545B2 (en) * | 2007-03-07 | 2014-11-11 | Vlingo Corporation | Dealing with switch latency in speech recognition |
US20080221884A1 (en) * | 2007-03-07 | 2008-09-11 | Cerra Joseph P | Mobile environment speech processing facility |
US20090030687A1 (en) * | 2007-03-07 | 2009-01-29 | Cerra Joseph P | Adapting an unstructured language model speech recognition system based on usage |
US8949130B2 (en) | 2007-03-07 | 2015-02-03 | Vlingo Corporation | Internal and external speech recognition use with a mobile communication facility |
US20080256613A1 (en) * | 2007-03-13 | 2008-10-16 | Grover Noel J | Voice print identification portal |
US9128981B1 (en) | 2008-07-29 | 2015-09-08 | James L. Geer | Phone assisted ‘photographic memory’ |
US20100131280A1 (en) * | 2008-11-25 | 2010-05-27 | General Electric Company | Voice recognition system for medical devices |
US8185373B1 (en) * | 2009-05-05 | 2012-05-22 | The United States Of America As Represented By The Director, National Security Agency, The | Method of assessing language translation and interpretation |
US8352244B2 (en) * | 2009-07-21 | 2013-01-08 | International Business Machines Corporation | Active learning systems and methods for rapid porting of machine translation systems to new language pairs or new domains |
TWI413106B (en) * | 2010-08-04 | 2013-10-21 | Hon Hai Prec Ind Co Ltd | Electronic recording apparatus and method thereof |
US9263032B2 (en) | 2013-10-24 | 2016-02-16 | Honeywell International Inc. | Voice-responsive building management system |
US10395640B1 (en) * | 2014-07-23 | 2019-08-27 | Nvoq Incorporated | Systems and methods evaluating user audio profiles for continuous speech recognition |
US20160379630A1 (en) * | 2015-06-25 | 2016-12-29 | Intel Corporation | Speech recognition services |
CN113241064B (en) * | 2021-06-28 | 2024-02-13 | 科大讯飞股份有限公司 | Speech recognition, model training method and device, electronic equipment and storage medium |
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