Blind speech separation

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