Blind Speech Separation

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Makino, Shoji (Επιμελητής έκδοσης), Sawada, Hiroshi (Επιμελητής έκδοσης), Lee, Te-Won (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Dordrecht : Springer Netherlands, 2007.
• Σειρά: Signals and Communication Technology,
• Θέματα: Engineering.; Microwaves.; Optical engineering.; Electrical engineering.; Signal, Image and Speech Processing.; Communications Engineering, Networks.; Microwaves, RF and Optical Engineering.

This is the first book to provide a cutting edge reference to the fascinating topic of blind source separation (BSS) for convolved speech mixtures. Through contributions by the foremost experts on the subject, the book provides an up-to-date account of research findings, explains the underlying theo...

Πίνακας περιεχομένων:

• 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.