00000cmm a22000004a 4500 UP-99796217611212186 Buklod 20140424092126.0 m go j cr |n |||auu|a 110701s2011 xx u | eng d 9783642195860 (eBook) 3642195865 (eBook) (iLib)UPD-00214608365 DML eng DMLUC TK 7895 S65 G78 2011eb Gruhn, Rainer E. Statistical pronunciation modeling for non-native speech processing [electronic resource] by Rainer E. Gruhn, Wolfgang Minker, Satoshi Nakamura. Berlin, Heidelberg Springer 2011. 1 online resource (ix, 114 p.) ill. Signals and communication technology 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. IP-based subscription, access limited to within on campus computer network. Access via Electronic Resources of the UPD University Library Website. 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. Electronic reproduction. New York SpringerLink 2011. Available via World Wide Web through SpringerLink. Automatic speech recognition. Speech processing systems. Electronic books. Minker, Wolfgang. Nakamura, Satoshi. SpringerLink (Online service). Available for University of the Philippines Diliman via SpringerLink. Click here to access http://link.springer.com/book/10.1007/978-3-642-19586-0 FO Monograph UPD DMLR Electronic Resource