[PDF.80yb] Speech Recognition Using Articulatory and Excitation Source Features (SpringerBriefs in Electrical and Computer Engineering)

Speech Recognition Using Articulatory and Excitation Source Features (SpringerBriefs in Electrical and Computer Engineering)

[PDF.hj60] Speech Recognition Using Articulatory and Excitation Source Features (SpringerBriefs in Electrical and Computer Engineering)

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 |  2017-01-18 |  2017-01-18 | Original language:English | PDF # 1 |  9.25 x.25 x6.10l, | File type: PDF | 92 pages

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||About the Author||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.

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,...

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