Article

Comparing speaker-dependent and speaker-adaptive acoustic models for recognizing dysarthric speech

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Frank RudziczAuthors Info & Claims

Assets '07: Proceedings of the 9th international ACM SIGACCESS conference on Computers and accessibility

Pages 255 - 256

https://doi.org/10.1145/1296843.1296899

Published: 15 October 2007 Publication History

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Abstract

Acoustic modeling of dysarthric speech is complicated by its increased intra- and inter-speaker variability. The accuracy of speaker-dependent and speaker-adaptive models are compared for this task, with the latter prevailing across varying levels of speaker intelligibility.

References

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Tetzloff KWiepert DBotha HDuffy JClark HWhitwell JJosephs KUtianski R(2024)Automatic Speech Recognition in Primary Progressive Apraxia of SpeechJournal of Speech, Language, and Hearing Research10.1044/2024_JSLHR-24-0004967:9(2964-2976)Online publication date: 12-Sep-2024
https://doi.org/10.1044/2024_JSLHR-24-00049
Gohider NBasir O(2024)Recent advancements in automatic disordered speech recognition: A survey paperNatural Language Processing Journal10.1016/j.nlp.2024.100110(100110)Online publication date: Oct-2024
https://doi.org/10.1016/j.nlp.2024.100110
Qian ZXiao K(2023)A Survey of Automatic Speech Recognition for Dysarthric SpeechElectronics10.3390/electronics1220427812:20(4278)Online publication date: 16-Oct-2023
https://doi.org/10.3390/electronics12204278
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Index Terms

Comparing speaker-dependent and speaker-adaptive acoustic models for recognizing dysarthric speech
1. Computing methodologies
  1. Modeling and simulation
    1. Simulation theory
      1. Systems theory
2. Mathematics of computing
  1. Information theory

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Published In

Assets '07: Proceedings of the 9th international ACM SIGACCESS conference on Computers and accessibility

October 2007

282 pages

ISBN:9781595935731

DOI:10.1145/1296843

General Chair:
Enrico Pontelli
New Mexico State University, USA
,
Program Chair:
Shari Trewin
IBM T.J. Watson Research Center, USA

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Association for Computing Machinery

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Published: 15 October 2007

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ASSETS07: The 9th International ACM SIGACCESS Conference on Computers and Accessibility

October 15 - 17, 2007

Arizona, Tempe, USA

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Tetzloff KWiepert DBotha HDuffy JClark HWhitwell JJosephs KUtianski R(2024)Automatic Speech Recognition in Primary Progressive Apraxia of SpeechJournal of Speech, Language, and Hearing Research10.1044/2024_JSLHR-24-0004967:9(2964-2976)Online publication date: 12-Sep-2024
https://doi.org/10.1044/2024_JSLHR-24-00049
Gohider NBasir O(2024)Recent advancements in automatic disordered speech recognition: A survey paperNatural Language Processing Journal10.1016/j.nlp.2024.100110(100110)Online publication date: Oct-2024
https://doi.org/10.1016/j.nlp.2024.100110
Qian ZXiao K(2023)A Survey of Automatic Speech Recognition for Dysarthric SpeechElectronics10.3390/electronics1220427812:20(4278)Online publication date: 16-Oct-2023
https://doi.org/10.3390/electronics12204278
Qian ZXiao KYu C(2023)A survey of technologies for automatic Dysarthric speech recognitionEURASIP Journal on Audio, Speech, and Music Processing10.1186/s13636-023-00318-22023:1Online publication date: 11-Nov-2023
https://doi.org/10.1186/s13636-023-00318-2
Hamza AAddou DKheddar H(2023)Machine Learning Approaches for Automated Detection and Classification of Dysarthria Severity2023 2nd International Conference on Electronics, Energy and Measurement (IC2EM)10.1109/IC2EM59347.2023.10419588(1-6)Online publication date: 28-Nov-2023
https://doi.org/10.1109/IC2EM59347.2023.10419588
Balaji VSadashivappa G(2021)Analysis of Unintelligible Speech for MLLR and MAP-Based Speaker AdaptationAdvances in Signal Processing and Intelligent Recognition Systems10.1007/978-981-16-0425-6_8(108-121)Online publication date: 7-Feb-2021
https://doi.org/10.1007/978-981-16-0425-6_8
Keshet J(2019)Automatic speech recognition: A primer for speech-language pathology researchersInternational Journal of Speech-Language Pathology10.1080/17549507.2018.151003320:6(599-609)Online publication date: 9-Jan-2019
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El Ouahabi SAtounti MBellouki M(2019)Toward an automatic speech recognition system for amazigh-tarifit languageInternational Journal of Speech Technology10.1007/s10772-019-09617-622:2(421-432)Online publication date: 19-Jul-2019
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Kim MKim YYoo JWang JKim H(2017)Regularized Speaker Adaptation of KL-HMM for Dysarthric Speech RecognitionIEEE Transactions on Neural Systems and Rehabilitation Engineering10.1109/TNSRE.2017.268169125:9(1581-1591)Online publication date: Sep-2017
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Bhat CVachhani BKopparapu S(2016)Improving Recognition of Dysarthric Speech Using Severity Based Tempo AdaptationSpeech and Computer10.1007/978-3-319-43958-7_44(370-377)Online publication date: 13-Aug-2016
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Recommendations

On speaker-independent, speaker-dependent, and speaker-adaptive speech recognition

Comparing humans and automatic speech recognition systems in recognizing dysarthric speech

Articulation-Disordered Speech Recognition Using Speaker-Adaptive Acoustic Models and Personalized Articulation Patterns

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