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Statistical Pronunciation Modeling for Non-Native Speech Processing [recurso electrónico] / by Rainer E. Gruhn, Wolfgang Minker, Satoshi Nakamura.

Por: Gruhn, Rainer E [author.]Colaborador(es): Minker, Wolfgang [author.] | Nakamura, Satoshi [author.] | SpringerLink (Online service)Tipo de material: Texto

TextoSeries Signals and Communication TechnologyEditor: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2011Descripción: X, 114 p. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783642195860Tema(s): Engineering | Translators (Computer programs) | Phonology | Engineering | Signal, Image and Speech Processing | Language Translation and Linguistics | Phonology | Statistics for Engineering, Physics, Computer Science, Chemistry and Earth SciencesFormatos físicos adicionales: Printed edition:: Sin títuloClasificación CDD: 621.382 Clasificación LoC:TK5102.9TA1637-1638TK7882.S65Recursos en línea: Libro electrónico Texto

Contenidos:

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.

En: Springer eBooksResumen: 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.

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Notas de título ( 3 )

Existencias
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Libro Electrónico	Biblioteca Electrónica	Colección de Libros Electrónicos	TK5102.9 (Browse shelf(Abre debajo))	1	No para préstamo		375882-2001

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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.