Speech recognition using articulatory and excitation source features / K. Sreenivasa Rao, Manjunath K.E.
Rao, K. Sreenivasa (Krothapalli Sreenivasa), author.; Manjunath K. E., author.
2017
TK7895.S65
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Title Speech recognition using articulatory and excitation source features / K. Sreenivasa Rao, Manjunath K.E.
Author Rao, K. Sreenivasa (Krothapalli Sreenivasa), author.
ISBN 9783319492209 (electronic book)
3319492209 (electronic book)
9783319492193
3319492195
DOI https://doi.org/10.1007/978-3-319-49220-9
Published Cham, Switzerland : Springer, [2017]
Copyright ©2017
Language English
Description 1 online resource (92 pages) : illustrations.
Item Number 10.1007/978-3-319-49220-9 doi
Call Number TK7895.S65
Dewey Decimal Classification 006.4/54
Summary "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"--Provided by publisher.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Digital File Characteristics text file PDF
Source of Description Description based on print version record.
Added Author Manjunath K. E., author.
Series SpringerBriefs in electrical and computer engineering. Speech technology.
Available in Other Form Speech recognition using articulatory and excitation source features.
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Introduction
Literature Review
Articulatory Features for Phone Recognition
Excitation Source Features for Phone Recognition
Articulatory and Excitation Source Features for Speech Recognition in Read, Extempore and Conversation Modes
Conclusion
Appendix A: MFCC Features
Appendix B: Pattern Recognition Models.

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