Speech Processing and Soft Computing [electronic resource] /by Sid-Ahmed Selouani.
by Selouani, Sid-Ahmed [author.]; SpringerLink (Online service).
Material type:
Item type | Current location | Call number | Status | Date due | Barcode |
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TA1637-1638 (Browse shelf) | Available | ||||
TK7882.S65 (Browse shelf) | Available | ||||
Long Loan | MAIN LIBRARY | TK5102.9 (Browse shelf) | Available |
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QH201-278.5 Reviews in Fluorescence 2009 | QA276-280 Selected Works of Oded Schramm | S622-627 Theory and Practice of Soil Loss Control in Eastern China | TA1637-1638 Speech Processing and Soft Computing | RC321-580 Innate Tolerance in the CNS | TA1637-1638 Information Security for Automatic Speaker Identification | TA1637-1638 Ultra-Wideband Radio Frequency Identification Systems |
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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