Overview
- cutting edge topic on blind source separation
- top researchers from all over the world
- tutorial in nature and in-depth treatment
Part of the book series: Signals and Communication Technology (SCT)
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About this book
We are surrounded by sounds. Such a noisy environment makes it di?cult to obtain desired speech and it is di?cult to converse comfortably there. This makes it important to be able to separate and extract a target speech signal from noisy observations for both man–machine and human–human communication. Blindsourceseparation(BSS)isanapproachforestimatingsourcesignals using only information about their mixtures observed in each input channel. The estimation is performed without possessing information on each source, such as its frequency characteristics and location, or on how the sources are mixed. The use of BSS in the development of comfortable acoustic com- nication channels between humans and machines is widely accepted. Some books have been published on BSS, independent component ana- sis (ICA), and related subjects. There, ICA-based BSS has been well studied in the statistics and information theory ?elds, for applications to a variety of disciplines including wireless communication and biomedicine. However, as speech and audio signal mixtures in a real reverberant environment are generally convolutive mixtures, they involve a structurally much more ch- lenging task than instantaneous mixtures, which are prevalent in many other applications.
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Table of contents (15 chapters)
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Front Matter
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Multiple Microphone Blind Speech Separation with ICA
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Front Matter
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Underdetermined Blind Speech Separation with Sparseness
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Front Matter
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Single Microphone Blind Speech Separation
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Front Matter
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Back Matter
Editors and Affiliations
About the editors
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.
Bibliographic Information
Book Title: Blind Speech Separation
Editors: Shoji Makino, Hiroshi Sawada, Te-Won Lee
Series Title: Signals and Communication Technology
DOI: https://doi.org/10.1007/978-1-4020-6479-1
Publisher: Springer Dordrecht
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Science+Business Media B.V. 2007
Hardcover ISBN: 978-1-4020-6478-4Published: 20 September 2007
Softcover ISBN: 978-90-481-7651-9Published: 30 November 2010
eBook ISBN: 978-1-4020-6479-1Published: 07 September 2007
Series ISSN: 1860-4862
Series E-ISSN: 1860-4870
Edition Number: 1
Number of Pages: XVI, 432
Topics: Signal, Image and Speech Processing, Communications Engineering, Networks, Microwaves, RF and Optical Engineering