WO2006034152A3 - Discriminative training of document transcription system - Google Patents

Discriminative training of document transcription system Download PDF

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Publication number
WO2006034152A3
WO2006034152A3 PCT/US2005/033403 US2005033403W WO2006034152A3 WO 2006034152 A3 WO2006034152 A3 WO 2006034152A3 US 2005033403 W US2005033403 W US 2005033403W WO 2006034152 A3 WO2006034152 A3 WO 2006034152A3
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WO
WIPO (PCT)
Prior art keywords
transcript
audio stream
spoken
training
acoustic model
Prior art date
Application number
PCT/US2005/033403
Other languages
French (fr)
Other versions
WO2006034152A2 (en
Inventor
Girija Yegnanarayanan
Juergen Fritsch
Lambert Mathias
Original Assignee
Multimodal Technologies Inc
Girija Yegnanarayanan
Juergen Fritsch
Lambert Mathias
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 Multimodal Technologies Inc, Girija Yegnanarayanan, Juergen Fritsch, Lambert Mathias filed Critical Multimodal Technologies Inc
Publication of WO2006034152A2 publication Critical patent/WO2006034152A2/en
Publication of WO2006034152A3 publication Critical patent/WO2006034152A3/en

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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
    • G10L15/06—Creation of reference templates; Training of speech recognition systems, e.g. adaptation to the characteristics of the speaker's voice
    • G10L15/063—Training
    • 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
    • G10L15/08—Speech classification or search
    • G10L15/18—Speech classification or search using natural language modelling
    • G10L15/183—Speech classification or search using natural language modelling using context dependencies, e.g. language models

Abstract

A system is provided for training an acoustic model (330) for use in speech recognition. In particular, such a system may be used to perform training (328) based on a spoken audio stream (302) and a non-literal transcript (304) of the spoken audio stream (302). Such a system may identify (204) text (308) in the non-literal transcript (304) which represents concepts having multiple spoken forms. The system may attempt to identify the actual spoken form in the audio stream (302) which produced the corresponding text in the non-literal transcript (304), and thereby produce a revised transcript (326) which more accurately represents the spoken audio stream (302). The revised, and more accurate, transcript (326) may be used to train (328) the acoustic model (330) using discriminative training techniques (1414), thereby producing a better acoustic model than that which would be produced using conventional techniques, which perform training based directly on the original non-literal transcript (304).
PCT/US2005/033403 2004-09-17 2005-09-16 Discriminative training of document transcription system WO2006034152A2 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US61117104P 2004-09-17 2004-09-17
US60/611,171 2004-09-17

Publications (2)

Publication Number Publication Date
WO2006034152A2 WO2006034152A2 (en) 2006-03-30
WO2006034152A3 true WO2006034152A3 (en) 2007-03-01

Family

ID=36090556

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2005/033403 WO2006034152A2 (en) 2004-09-17 2005-09-16 Discriminative training of document transcription system

Country Status (1)

Country Link
WO (1) WO2006034152A2 (en)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2026327A4 (en) * 2006-05-31 2012-03-07 Nec Corp Language model learning system, language model learning method, and language model learning program
CN113689860A (en) * 2021-07-29 2021-11-23 北京捷通华声科技股份有限公司 Training method, device and equipment of voice recognition model and voice recognition method, device and equipment
CN113781853B (en) * 2021-08-23 2023-04-25 安徽教育出版社 Teacher-student remote interactive education platform based on terminal

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6055494A (en) * 1996-10-28 2000-04-25 The Trustees Of Columbia University In The City Of New York System and method for medical language extraction and encoding
US6263308B1 (en) * 2000-03-20 2001-07-17 Microsoft Corporation Methods and apparatus for performing speech recognition using acoustic models which are improved through an interactive process
US6535849B1 (en) * 2000-01-18 2003-03-18 Scansoft, Inc. Method and system for generating semi-literal transcripts for speech recognition systems
US6691088B1 (en) * 1998-10-21 2004-02-10 Koninklijke Philips Electronics N.V. Method of determining parameters of a statistical language model

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6055494A (en) * 1996-10-28 2000-04-25 The Trustees Of Columbia University In The City Of New York System and method for medical language extraction and encoding
US6691088B1 (en) * 1998-10-21 2004-02-10 Koninklijke Philips Electronics N.V. Method of determining parameters of a statistical language model
US6535849B1 (en) * 2000-01-18 2003-03-18 Scansoft, Inc. Method and system for generating semi-literal transcripts for speech recognition systems
US6263308B1 (en) * 2000-03-20 2001-07-17 Microsoft Corporation Methods and apparatus for performing speech recognition using acoustic models which are improved through an interactive process

Also Published As

Publication number Publication date
WO2006034152A2 (en) 2006-03-30

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