Speech Recognition Using Articulatory and Excitation Source Features

Name: Speech Recognition Using Articulatory and Excitation Source Features
SKU: 26186990
Price: 134.99 AUD
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Paperback / softback

Series:

Springerbriefs in Speech Technology

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Description

This book discusses the contribution of articulatory and excitation source information in discriminating sound units. The authors focus on excitation source component of speech -- and the dynamics of various articulators during speech production -- for enhancement of speech recognition (SR) performance. Speech recognition is analyzed for read, extempore, and conversation modes of speech. Five groups of articulatory features (AFs) are explored for speech recognition, in addition to conventional spectral features. Each chapter provides the motivation for exploring the specific feature for SR task, discusses the methods to extract those features, and finally suggests appropriate models to capture the sound unit specific knowledge from the proposed features. The authors close by discussing various combinations of spectral, articulatory and source features, and the desired models to enhance the performance of SR systems.

Author Biography:

K. Sreenivasa Rao is an Associate Professor at IIT Kharagpur. He has published seven books with Springer. He published 55 Journal publications, 25 book chapters and 115 conference publications.

Release date Australia

January 18th, 2017

Author

Audience

Professional & Vocational

Edition

1st ed. 2017

Illustrations

4 Illustrations, color; 19 Illustrations, black and white; XI, 92 p. 23 illus., 4 illus. in color.

Pages

Series

Springerbriefs in Speech Technology

Dimensions

155x235x6

ISBN-13

9783319492193

Product ID

26186990

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