S. Ramakrishnan's Modern Speech Recognition Approaches with Case Studies PDF

By S. Ramakrishnan

ISBN-10: 953510831X

ISBN-13: 9789535108313

This booklet focuses totally on speech popularity and the similar initiatives resembling speech enhancement and modeling. This ebook contains three sections and 13 chapters written by way of eminent researchers from united states, Brazil, Australia, Saudi Arabia, Japan, eire, Taiwan, Mexico, Slovakia and India. part 1 on speech popularity includes seven chapters. Sections 2 and three on speech enhancement and speech modeling have 3 chapters every one respectively to complement part 1. We truly think that thorough interpreting of those 13 chapters will offer complete wisdom on glossy speech popularity techniques to the readers.

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Product Details

Paperback: 246 pages
writer: Cambridge collage Press (September 19, 2005)
Language: English
ISBN-10: 0521616387
ISBN-13: 978-0521616386

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Additional info for Modern Speech Recognition Approaches with Case Studies

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Fusion of confusing matrices and dimensional reduction The multidimensional scaling (MDS) method is used to project multilingual triphones to the orthogonal axes where the ranking distance relation between them can be estimated using Euclidean distance. MDS is generally a procedure which characterizes the data in terms of a matrix of pairwise distances using Euclidean distance estimation. One of the purposes of 28 Modern Speech Recognition Approaches with Case Studies MDS is to reduce the data dimensionality into a low-dimensional space.

And E. Barnard (1996). Phone clustering using the Bhattacharyya distance. Proc. ICSLP, IEEE. 4: 2005-2008. Mathews, R. H. (1979). Mathews' Chinese-English Dictionary, Harvard university press. Savova, G. and J. Bachenko (2003). Prosodic features of four types of disfluencies. Proc. of DiSS: 91–94. , L. Ferrer, S. Kajarekar, A. Venkataraman and A. Stolcke (2005). Modeling prosodic feature sequences for speaker recognition. Speech Communication, Vol. 46. No. 3-4. pp. 455-472. , A. Stolcke, D. Hakkani-Tur and G.

Fusion of confusing matrices and dimensional reduction The multidimensional scaling (MDS) method is used to project multilingual triphones to the orthogonal axes where the ranking distance relation between them can be estimated using Euclidean distance. MDS is generally a procedure which characterizes the data in terms of a matrix of pairwise distances using Euclidean distance estimation. One of the purposes of 28 Modern Speech Recognition Approaches with Case Studies MDS is to reduce the data dimensionality into a low-dimensional space.

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Modern Speech Recognition Approaches with Case Studies by S. Ramakrishnan


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