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Other titles in the Signals and Communication Technology series:

Blind Speech Separation (Signals and Communication Technology)

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Synopses & Reviews

Publisher Comments:

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 theory, and discusses potential applications. The individual chapters are designed to be tutorial in nature with specific emphasis on an in-depth treatment of state of the art techniques. Blind Speech Separation is divided into three parts: Part 1 presents overdetermined or critically determined BSS. Here the main technology is independent component analysis (ICA). ICA is a statistical method for extracting mutually independent sources from their mixtures. This approach utilizes spatial diversity to discriminate between desired and undesired components, i.e., it reduces the undesired components by forming a spatial null towards them. It is, in fact, a blind adaptive beamformer realized by unsupervised adaptive filtering. Part 2 addresses underdetermined BSS, where there are fewer microphones than source signals. Here, the sparseness of speech sources is very useful; we can utilize time-frequency diversity, where sources are active in different regions of the time-frequency plane. Part 3 presents monaural BSS where there is only one microphone. Here, we can separate a mixture by using the harmonicity and temporal structure of the sources. We can build a probabilistic framework by assuming a source model, and separate a mixture by maximizing the a posteriori probability of the sources.

Synopsis:

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.

About the Author

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.

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.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.

Product Details

ISBN:
9781402064784
Author:
Makino, Shoji
Publisher:
Springer
Editor:
Lee, Te-Won
Editor:
Sawada, Hiroshi
Editor:
Makino, S.
Author:
Sawada, Hiroshi
Author:
Lee, Te-Won
Subject:
Engineering - Electrical & Electronic
Subject:
Telecommunications
Subject:
Electricity
Subject:
Engineering / Electrical
Subject:
blind source separation
Subject:
independent component analysis
Subject:
sparse component analysis
Subject:
Unsupervised learning
Subject:
Signal, Image and Speech Processing
Subject:
Communications Engineering, Networks
Subject:
Microwaves, RF and Optical Engineering
Subject:
Microwaves, RF and Optical Engineering <P>* cutting edge topic on blind source separation</P> <P>* top researchers from all over the world</P> <P>* tutorial in nature and in-depth treatment</P>
Subject:
Communications-Telephony
Subject:
Electronics - General
Subject:
Si
Subject:
gnal, Image and Speech Processing
Copyright:
Edition Description:
Book
Series:
Signals and Communication Technology
Publication Date:
20070920
Binding:
HARDCOVER
Language:
English
Illustrations:
Y
Pages:
447
Dimensions:
235 x 155 mm 1780 gr

Related Subjects

Engineering » Communications » Telephony
Health and Self-Help » Health and Medicine » Medical Specialties
Reference » Science Reference » Technology
Science and Mathematics » Electricity » General Electricity
Science and Mathematics » Environmental Studies » General

Blind Speech Separation (Signals and Communication Technology) New Hardcover
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Product details 447 pages Springer - English 9781402064784 Reviews:
"Synopsis" by , 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.
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