| Title:
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STATISTICAL PRONUNCIATION MODELING FOR NON-NATIVE SPEECH PROCESSING
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| By: |
Rainer E. Gruhn, Wolfgang Minker, Satoshi Nakamura |
| Format: |
Paperback |
| List price:
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£89.99 |
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| ISBN 10: |
3642268145 |
| ISBN 13: |
9783642268144 |
| Publisher: |
SPRINGER-VERLAG BERLIN AND HEIDELBERG GMBH & CO. KG |
| Pub. date: |
14 July, 2013 |
| Edition: |
2011 ed. |
| Series: |
Signals and Communication Technology |
| Pages: |
114 |
| Description: |
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 model, initialized on a standard pronunciation dictionary. |
| Synopsis: |
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 pronunciation model, initialized on a standard pronunciation dictionary. The implementation and functionality of the methodology has been proven and verified with a test set of non-native English in the regarding accent.The book is written for researchers with a professional interest in phonetics and automatic speech and speaker recognition. |
| Illustrations: |
X, 114 p. |
| Publication: |
Germany |
| Imprint: |
Springer-Verlag Berlin and Heidelberg GmbH & Co. K |
| Returns: |
Returnable |