Blind Speech Separation
| Autor: | Shoji Makino, Hiroshi Sawada, Te-Won Lee |
|---|---|
| EAN: | 9781402064791 |
| eBook Format: | |
| Sprache: | Englisch |
| Produktart: | eBook |
| Veröffentlichungsdatum: | 07.09.2007 |
| Kategorie: | |
| Schlagworte: | Independent Component Analysis Support Vector Machine adaptive Filter algorithm algorithms blind source separation clustering filtering filters optimization sparse component analysis system identification unsupervised learning |
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This is the world's first edited book on independent component analysis (ICA)-based blind source separation (BSS) of convolutive mixtures of speech. This book brings together a small number of leading researchers to provide tutorial-like and in-depth treatment on major ICA-based BSS topics, with the objective of becoming the definitive source for current, comprehensive, authoritative, and yet accessible treatment.
Dr. Shoji Makino is an IEEE Fellow, Associate Editor of the IEEE Transactions on Speech & Audio Processing, and Executive Manager NTT Communication Science Laboratories. Dr. Makino was also co-editor on the succesful 2005 Springer book: Benesty - Speech Enhancement.
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