Robustness in automatic speech recognition: fundamentals and applications

Front Cover
Kluwer Academic Publishers, 1996 - Computers - 440 pages
0 Reviews
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.

From inside the book

What people are saying - Write a review

We haven't found any reviews in the usual places.

Contents

BACKGROUND ON SPEECH ANALYSIS
37
FUNDAMENTALS OF AUTOMATIC SPEECH
73
PROBLEMS AND
125
Copyright

11 other sections not shown

Other editions - View all

Common terms and phrases

References to this book

Bibliographic information