Blind speech separation
Author(s)
Bibliographic Information
Blind speech separation
（Signals and communication technology）
Springer, c2007
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Note
Includes bibliographical references and index
Description and Table of Contents
Description
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.
Table of Contents
- Part I: Multiple Microphone Blind Speech Separation with ICA 1. Convolutive Blind Source Separation for Speech Signals
- S.C.Douglas, M.Gupta. 2. Frequency-Domain Blind Source Separation
- H.Sawada, S.Araki, S.Makino. 3. Blind Source Separation using Space-Time Independent Component Analysis
- M.Davies, et al. 4. TRINICON-based Blind System Identification with Application to Multiple-Source Localization and Separation
- H.Buchner, R.Aichner, W.Kellermann. 5. SIMO-Model-Based Blind Source Separation-principle and its applications
- H.Saruwatari, T.Takatani, K.Shikano. 6. Independent Vector Analysis for Convolutive Blind Speech Separation
- I.Lee, T.Kim, T-W.Lee. 7. Relative Newton and Smoothing Multiplier Optimization Methods for Blind Source Separation
- M.Zibulevsky. Part II: Underdeterminded Blind Speech Separation with Sparseness 8. The DUET Blind Source Separation Algorithm
- S.Rickard. 9. K-means Based Underdetermined Blind Speech Separation
- S.Araki, H.Sawada, S.Makino. 10. Underdetermined Blind Source Separation of Convolutive Mixtures by Hierarchical Clustering and L1-Norm Minimization
- S.Winter, et al. 11. Bayesian Audio Source Separation
- C.Fevotte. Part III: Single Microphone Blind Speech Separation 12. Monaural Source Separation
- G.J.Jang, T-W.Lee. 13. Probabilistic Decompositions of Spectra for Sound Separation
- P.Smaragdis. 14. Sparsification for Monaural Source Separation
- H.Asari, et al. 15. Monaural Speech Separation by Support Vector Machines
- S.Hochreiter, M.C.Mozer. Index.
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