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Speech recognition using articulator...

Manjunath K.E.

Speech recognition using articulatory and excitation source features

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Speech recognition using articulatory and excitation source featuresby K. Sreenivasa Rao, Manjunath K.E.
作者:	Rao, K. Sreenivasa.
其他作者:	Manjunath K.E.
出版者:	Cham :Springer International Publishing :2017.
面頁冊數:	xi, 92 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Automatic speech recognition.
電子資源:	http://dx.doi.org/10.1007/978-3-319-49220-9
ISBN:	9783319492209$q(electronic bk.)

Speech recognition using articulatory and excitation source features
Rao, K. Sreenivasa.

Speech recognition using articulatory and excitation source features[electronic resource] /by K. Sreenivasa Rao, Manjunath K.E. - Cham :Springer International Publishing :2017. - xi, 92 p. :ill., digital ;24 cm. - SpringerBriefs in electrical and computer engineering,2191-8112. - SpringerBriefs in electrical and computer engineering..

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.

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.

ISBN: 9783319492209$q(electronic bk.)

Standard No.: 10.1007/978-3-319-49220-9doiSubjects--Topical Terms:

184258
Automatic speech recognition.

LC Class. No.: TK7895.S65

Dewey Class. No.: 006.454

Speech recognition using articulatory and excitation source features
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505 0 $a 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.
520 $a 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.
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