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.

* cutting edge topic on blind source separation
* top researchers from all over the world
* tutorial in nature and in-depth treatment

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.Févotte. 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.