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Statistical Pronunciation Modeling for Non-Native Speech Processing

Author: Rainer E Gruhn; Wolfgang Minker; Satoshi Nakamura
Publisher: Dordrecht : Springer, 2011.
Series: Signals and communication technology.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
In this work, the authors present a fully statistical approach to model non--native speakers' pronunciation. Second-language speakers pronounce words in multiple different ways compared to the native speakers. Those deviations, may it be phoneme substitutions, deletions or insertions, can be modelled automatically with the new method presented here. The methods is based on a discrete hidden Markov model as a word  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Gruhn, Rainer E.
Statistical Pronunciation Modeling for Non-Native Speech Processing.
Dordrecht : Springer, ©2011
(OCoLC)723107780
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Rainer E Gruhn; Wolfgang Minker; Satoshi Nakamura
ISBN: 9783642195860 3642195865
OCLC Number: 748241903
Description: 1 online resource (ix, 114 pages) : illustrations.
Contents: 1. Introduction --
2. Automatic speech recognition --
3. Properties of non-native speech --
4. Pronunciation variation modeling in the literature --
5. Non-native speech database --
6. Handling non-native speech --
7. Pronunciation HMMs --
8. Outlook --
Appendix A: Hotel reservation dialog --
Appendix B: Confusion matrices --
Appendix C: Speaker information --
Appendix D: Human evaluation.
Series Title: Signals and communication technology.
Responsibility: Rainer E. Gruhn, Wolfgang Minker, Satoshi Nakamura.

Abstract:

This book presents a fully statistical approach for modeling the pronunciation of non-native speakers, using a proven and tested method based on a discrete hidden Markov model as a word pronunciation  Read more...

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