Blind Speech Separation

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.

• Multiple Microphone Blind Speech Separation with ICA.- Convolutive Blind Source Separation for Audio Signals.- Frequency-Domain Blind Source Separation.- Blind Source Separation using Space–Time Independent Component Analysis.- TRINICON-based Blind System Identification with Application to Multiple-Source Localization and Separation.- SIMO-Model-Based Blind Source Separation – Principle and its Applications.- Independent Vector Analysis for Convolutive Blind Speech Separation.- Relative Newton and Smoothing Multiplier Optimization Methods for Blind Source Separation.- Underdetermined Blind Speech Separation with Sparseness.- The DUET Blind Source Separation Algorithm.- K-means Based Underdetermined Blind Speech Separation.- Underdetermined Blind Source Separation of Convolutive Mixtures by Hierarchical Clustering and L1-Norm Minimization.- Bayesian Audio Source Separation.- Single Microphone Blind Speech Separation.- Monaural Source Separation.- Probabilistic Decompositions of Spectra for Sound Separation.- Sparsification for Monaural Source Separation.- Monaural Speech Separation by Support Vector Machines: Bridging the Divide Between Supervised and Unsupervised Learning Methods.