TY  - BOOK
AU  - Gruhn,Rainer E.
AU  - Minker,Wolfgang
AU  - Nakamura,Satoshi
ED  - SpringerLink (Online service)
TI  - Statistical Pronunciation Modeling for Non-Native Speech Processing
T2  - Signals and Communication Technology,
SN  - 9783642195860
AV  - TK5102.9 
U1  - 621.382 23
PY  - 2011///
CY  - Berlin, Heidelberg
PB  - Springer Berlin Heidelberg, Imprint: Springer
KW  - Engineering
KW  - Translators (Computer programs)
KW  - Phonology
KW  - Signal, Image and Speech Processing
KW  - Language Translation and Linguistics
KW  - Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
N1  - 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
N2  - 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
UR  - http://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-3-642-19586-0
ER  -