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Speech recognition using articulatory and excitation source features

Author: K Sreenivasa Rao; Manjunath K E
Publisher: Cham, Switzerland : Springer, [2017] ©2017
Series: SpringerBriefs in electrical and computer engineering., Speech technology.
Edition/Format:   eBook : Document : EnglishView all editions and formats
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  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Rao, K. Sreenivasa (Krothapalli Sreenivasa).
Speech recognition using articulatory and excitation source features.
Cham, Switzerland : Springer, [2017]
(OCoLC)960835632
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: K Sreenivasa Rao; Manjunath K E
ISBN: 9783319492209 3319492209
OCLC Number: 968243567
Description: 1 online resource (92 pages) : illustrations.
Contents: 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.
Series Title: SpringerBriefs in electrical and computer engineering., Speech technology.
Responsibility: K. Sreenivasa Rao, Manjunath K.E.

Abstract:

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  Read more...

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