Statistical Pronunciation Modeling for Non-Native Speech Processing

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.

List of contents

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.

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 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.

Product details

• Authors: Rainer Gruhn, Rainer E Gruhn, Rainer E. Gruhn, Wolfgan Minker, Wolfgang Minker, Satoshi Nakamura
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 06.06.2013
• EAN: 9783642268144
• ISBN: 978-3-642-26814-4
• No. of pages: 114
• Dimensions: 158 mm x 8 mm x 253 mm
• Weight: 201 g
• Illustrations: X, 114 p.
• Series: Signals and Communication Technology; Signals and Communication Technology
• Subjects: Natural sciences, medicine, IT, technology > Technology > Electronics, electrical engineering, communications engineering; B, Statistics, engineering, Phonetics, phonology, Signal, Image and Speech Processing, Signal Processing, Probability & statistics, Speech processing systems, Phonology and Phonetics, Digital and Analog Signal Processing, Image processing, Phonology, Natural language & machine translation, Natural Language Processing (NLP), Natural language processing (Computer science)