Robustness in Automatic Speech Recognition, 1

Name: Robustness in Automatic Speech Recognition, 1
Brand: Springer, Berlin
SKU: 9781461285557
Price: 1102.9 RON
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Fundamentals and Applications

Autor: Jean-Claude Junqua, Jean-Paul Haton

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Editura: Springer, Berlin

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The domain of speech processing has come to the point where researchers and engineers are concerned...

Informații despre carte

Autor

Jean-Claude Junqua, Jean-Paul Haton

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2013

Pagini

440

EAN

9781461285557

ISBN

1461285550

Enbook ID

02643465

Editura

Springer, Berlin

Greutate

724

Dimensiuni

155 x 235 x 24

Descriere completă

The domain of speech processing has come to the point where researchers and engineers are concerned with how speech technology can be applied to new products, and how this technology will transform our future. One important problem is to improve robustness of speech processing under adverse conditions, which is the subject of this book. §Robust speech processing is a relatively new area which became a concern as technology started moving from laboratory to field applications. A method or an algorithm is robust if it can deal with a broad range of applications and adapt to unknown conditions. Robustness in Automatic Speech Recognition addresses all of the fundamental problems and issues in the area. §The book is divided into three parts. The first provides the background necessary for understanding the rest of the material. It also emphasizes the problems of speech production and perception in noise along with popular techniques used in speech analysis and automatic speech recognition. Part Two discusses the problems relevant to robustness in automatic speech recognition and speech-based applications. It emphasizes intra- and inter-speaker variability as well as automatic speech recognition of Lombard, noisy and channel distorted speech. Finally, the third part covers recent advances in the field of robust automatic speech recognition. §Audience: An invaluable reference. May be used as a text for advanced courses on the subject.

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Robustness in Automatic Speech Recognition, 1

Fundamentals and Applications

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