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Statistical Pronunciation Modeling for Non-Native Speech Processing (Signals and Communication Technology) book cover by Rainer E. Gruhn, Wolfgang Minker, Satoshi Nakamura
Paperback

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

by Rainer E. Gruhn, Wolfgang Minker and Satoshi Nakamura

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Paperback · 114 pages Springer Berlin Heidelberg · 2013

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About the book

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

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.



Details

Publisher
Springer Berlin Heidelberg
Authors
Rainer E. Gruhn, Wolfgang Minker, Satoshi Nakamura
Format
Paperback
Published
Jul 15, 2013
ISBN-13
9783642268144
Pages
114
Printing
Printed on demand
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