Speech Processing and Soft Computing includes coverage of synergy between speech technology and bio-inspired soft computing methods. Through practical cases, the author explores, dissects and examines how soft computing may complement conventional techniques in speech enhancement and speech recognition in order to provide robust systems. The material is especially useful to graduate students and experienced researchers who are interested in expanding their horizons and investigating new research directions through review of the theoretical and practical settings of soft computing methods in very recent speech applications.
Author(s): Sid-Ahmed Selouani (auth.)
Series: SpringerBriefs in Electrical and Computer Engineering
Edition: 1
Publisher: Springer-Verlag New York
Year: 2011
Language: English
Pages: 104
Tags: Signal, Image and Speech Processing; User Interfaces and Human Computer Interaction; Computational Intelligence; Energy, general
Front Matter....Pages i-ix
Introduction....Pages 1-4
Front Matter....Pages 5-5
Speech Enhancement Paradigm....Pages 7-14
Connectionist Subspace Decomposition for Speech Enhancement....Pages 15-24
Variance of the Reconstruction Error Technique....Pages 25-32
Evolutionary Techniques for Speech Enhancement....Pages 33-40
Front Matter....Pages 41-41
Robustness of Automatic Speech Recognition....Pages 43-62
Artificial Neural Networks and Speech Recognition....Pages 63-73
Evolutionary Algorithms and Speech Recognition....Pages 75-85
Speaker Adaptation Using Evolutionary-based Approach....Pages 87-96
Back Matter....Pages 97-104
