Statistical Pronunciation Modeling for Non-Native Speech Processing

Rainer E. Gruhn, Wolfgang Minker, Satoshi Nakamura

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English

Springer-Verlag Berlin and Heidelberg GmbH & Co. K
08 May 2011

linguistics; Acoustic & sound engineering; Speech recognition

Series: 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.

By: Rainer E. Gruhn, Wolfgang Minker, Satoshi Nakamura
Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Country of Publication: Germany
Edition: 2011 ed.
Dimensions: Height: 235mm, Width: 155mm, Spine: 9mm
Weight: 454g
ISBN: 9783642195853
ISBN 10: 3642195857
Series: Signals and Communication Technology
Pages: 114
Publication Date: 08 May 2011
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

Introduction.- Automatic Speech Recognition.- Properties of Non-native Speech.- Pronunciation Variation Modeling in the Literature.- Non-native Speech Database.- Handling Non-native Speech.- Pronunciation HMMs.