00000cmm a22000004a 4500 UP-99796217611212179 Buklod 20140424091604.0 m go j cr |n |||auu|a 110831s2011 xxu u | eng d 9781441996855 (eBook) 1441996850 (eBook)) (iLib)UPD-00214608355 DLC DML eng DMLUC TK 7882 S65 S45 2011eb Selouani, Sid-Ahmed Speech processing and soft computing [electronic resource] by Sid-Ahmed Selouani. New York, NY Springer New York 2011. 1 online resource (ix, 104 p.) SpringerBriefs in Electrical and Computer Engineering 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. IP-based subscription, access limited to within on campus computer network. Access via Electronic Resources of the UPD University Library Website. 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. Electronic reproduction. New York SpringerLink 2011. Available via World Wide Web through SpringerLink. Speech processing systems. Automatic speech recognition. Soft computing. Electronic books. SpringerLink (Online service). Available for University of the Philippines Diliman via SpringerLink. Click here to access http://link.springer.com/book/10.1007/978-1-4419-9685-5 FO Monograph UPD DMLR Electronic Resource