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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 mo...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Gruhn, Rainer E. (Autor), Minker, Wolfgang (Autor), Nakamura, Satoshi (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2011.
Edición:1st ed. 2011.
Colección:Signals and Communication Technology,
Temas:
Acceso en línea:Texto Completo

MARC

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100 1 |a Gruhn, Rainer E.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Statistical Pronunciation Modeling for Non-Native Speech Processing  |h [electronic resource] /  |c by Rainer E. Gruhn, Wolfgang Minker, Satoshi Nakamura. 
250 |a 1st ed. 2011. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2011. 
300 |a X, 114 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
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490 1 |a Signals and Communication Technology,  |x 1860-4870 
505 0 |a 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. 
520 |a 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. 
650 0 |a Signal processing. 
650 0 |a Natural language processing (Computer science). 
650 0 |a Grammar, Comparative and general-Phonology. 
650 0 |a Statistics . 
650 1 4 |a Signal, Speech and Image Processing . 
650 2 4 |a Natural Language Processing (NLP). 
650 2 4 |a Phonology and Phonetics. 
650 2 4 |a Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. 
700 1 |a Minker, Wolfgang.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
700 1 |a Nakamura, Satoshi.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
710 2 |a SpringerLink (Online service) 
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776 0 8 |i Printed edition:  |z 9783642268144 
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