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.

Focuses on the missing link between speech technology and soft computing Contains coverage of the innovative approaches in speech technology Gives new insights in speech recognition/enhancement obtained by investigating solutions beyond the statistical approach

Inhalt

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.