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OverviewIn 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. Full Product DetailsAuthor: Rainer E. Gruhn , Wolfgang Minker , Satoshi NakamuraPublisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K Edition: 2011 ed. Dimensions: Width: 15.50cm , Height: 0.90cm , Length: 23.50cm Weight: 0.454kg ISBN: 9783642195853ISBN 10: 3642195857 Pages: 114 Publication Date: 08 May 2011 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: Out of print, replaced by POD  We will order this item for you from a manufatured on demand supplier. Table of ContentsIntroduction.- Automatic Speech Recognition.- Properties of Non-native Speech.- Pronunciation Variation Modeling in the Literature.- Non-native Speech Database.- Handling Non-native Speech.- Pronunciation HMMs.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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