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

By: Contributor(s): Material type: TextTextSeries: SpringerBriefs in Electrical and Computer EngineeringPublisher: New York, NY : Springer New York, 2011Edition: 1Description: IX, 104p. 24 illus., 3 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781441996855
Subject(s): Additional physical formats: Printed edition:: No titleDDC classification:
  • 621.382 23
LOC classification:
  • TK5102.9
  • TA1637-1638
  • TK7882.S65
Online resources:
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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Item type Current library Call number Status Date due Barcode
E-Book E-Book Central Library Available E-39156

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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