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Speech Processing and Soft Computing [electronic resource] /by Sid-Ahmed Selouani.

by Selouani, Sid-Ahmed [author.]; SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: SpringerBriefs in Electrical and Computer Engineering: Publisher: New York, NY : Springer New York, 2011.Edition: 1.Description: IX, 104p. 24 illus., 3 illus. in color. online resource.ISBN: 9781441996855.Subject(s): Engineering | Computer science | Engineering | Signal, Image and Speech Processing | User Interfaces and Human Computer Interaction | Computational Intelligence | Energy, generalDDC classification: 621.382 Online resources: Click here to access online
Contents:
1. Introduction -- 2. Speech Enhancement Paradigm.- 3. Connectionist Subspace Decomposition for Speech Enhancement -- 4. Variance of the Reconstruction Error Technique -- 5. Evolutionary Techniques for Speech Enhancement -- 6. Robustness of Automatic Speech Recognition -- 7. Artificial Neural Networks and Speech Recognition -- 8. Evolutionary Algorithms and Speech Recognition -- 9. Speaker Adaptation Using Evolutionary-based Approach.
In: Springer eBooksSummary: 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.
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1. Introduction -- 2. Speech Enhancement Paradigm.- 3. Connectionist Subspace Decomposition for Speech Enhancement -- 4. Variance of the Reconstruction Error Technique -- 5. Evolutionary Techniques for Speech Enhancement -- 6. Robustness of Automatic Speech Recognition -- 7. Artificial Neural Networks and Speech Recognition -- 8. Evolutionary Algorithms and Speech Recognition -- 9. Speaker Adaptation Using Evolutionary-based Approach.

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.

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