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Speech Recognition Using Articulatory and Excitation Source Features

by K. Sreenivasa Rao

Part of the SpringerBriefs in Speech Technology Series

Speech Recognition Using Articulatory and Excitation Source Features Synopsis

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.

Book Information

ISBN: 9783319492193
Publication date: 18th January 2017
Author: K. Sreenivasa Rao
Publisher: Springer International Publishing AG
Format: Paperback / softback
Pagination: 92 pages
Categories: Natural language & machine translation, Computational linguistics, Imaging systems & technology,

About K. Sreenivasa Rao

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.

More About K. Sreenivasa Rao

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