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Statistical Pronunciation Modeling for Non-Native Speech Processing (Signals and Communication Technology) - Softcover

Buch 44 von 180: Signals and Communication Technology

Gruhn, Rainer E.; Minker, Wolfgang; Nakamura, Satoshi

 
9783642268144: Statistical Pronunciation Modeling for Non-Native Speech Processing (Signals and Communication Technology)
Softcover
ISBN 10: 3642268145 ISBN 13: 9783642268144
Verlag: Springer, 2013

Inhaltsangabe

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.

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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.

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Verlag
Springer
Erscheinungsdatum
2013
Sprache
Englisch
ISBN 10 
3642268145
ISBN 13 
9783642268144
Einband
Taschenbuch
Anzahl der Seiten
124
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