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Computational auditory scene analysis = principles, algorithms, and applications /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Computational auditory scene analysis/ edited by DeLiang Wang, Guy J. Brown.
其他題名:	principles, algorithms, and applications /
其他作者:	Wang, DeLiang,
出版者:	Hoboken, N.J. :Wiley interscience ; : c2006.,
面頁冊數:	1 online resource (xxiii, 395 p.) :ill. :
標題:	Auditory perception. -
電子資源:	http://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=5769523
ISBN:	9780470043387 (electronic bk.)

Computational auditory scene analysis = principles, algorithms, and applications /
Computational auditory scene analysisprinciples, algorithms, and applications /[electronic resource] :edited by DeLiang Wang, Guy J. Brown. - Hoboken, N.J. :Wiley interscience ;c2006. - 1 online resource (xxiii, 395 p.) :ill.

Includes bibliographical references and index.

AnnotationHow can we engineer systems capable of "cocktail party" listening?Human listeners are able to perceptually segregate one sound source from an acoustic mixture, such as a single voice from a mixture of other voices and music at a busy cocktail party. How can we engineer "machine listening" systems that achieve this perceptual feat?Albert Bregmans book Auditory Scene Analysis, published in 1990, drew an analogy between the perception of auditory scenes and visual scenes, and described a coherent framework for understanding the perceptual organization of sound. His account has stimulated much interest in computational studies of hearing. Such studies are motivated in part by the demand for practical sound separation systems, which have many applications including noiserobust automatic speech recognition, hearing prostheses, and automatic music transcription. This emerging field has become known as computational auditory scene analysis (CASA).Computational Auditory Scene Analysis: Principles, Algorithms, and Applications provides a comprehensive and coherent account of the state of the art in CASA, in terms of the underlying principles, the algorithms and system architectures that are employed, and the potential applications of this exciting new technology. With a Foreword by Bregman, its chapters are written by leading researchers and cover a wide range of topics including:Estimation of multiple fundamental frequenciesFeaturebased and modelbased approaches to CASASound separation based on spatial locationProcessing for reverberant environmentsSegregation of speech and musical signalsAutomatic speech recognition in noisy environmentsNeural and perceptual modeling of auditory organizationThe text is written at a level that will be accessible to graduate students and researchers from related science and engineering disciplines. The extensive bibliography accompanying each chapter will also make this book a valuable reference source. A web site accompanying the text, http://www.casabook.org, features software tools and sound demonstrations.

ISBN: 9780470043387 (electronic bk.)

Source: 9780470043387IEEEhttp://ieeexplore.ieee.orgSubjects--Topical Terms:

573402
Auditory perception.
Index Terms--Genre/Form:

554714
Electronic books.

LC Class. No.: QP461 / .C645 2006

Dewey Class. No.: 152.15

Computational auditory scene analysis = principles, algorithms, and applications /
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245 0 0 $a Computational auditory scene analysis $h [electronic resource] : $b principles, algorithms, and applications / $c edited by DeLiang Wang, Guy J. Brown.
260 $a Hoboken, N.J. : $a Chichester : $b Wiley interscience ; $c c2006. $b John Wiley [distributor],
300 $a 1 online resource (xxiii, 395 p.) : $b ill.
504 $a Includes bibliographical references and index.
520 8 $a Annotation $b How can we engineer systems capable of "cocktail party" listening?Human listeners are able to perceptually segregate one sound source from an acoustic mixture, such as a single voice from a mixture of other voices and music at a busy cocktail party. How can we engineer "machine listening" systems that achieve this perceptual feat?Albert Bregmans book Auditory Scene Analysis, published in 1990, drew an analogy between the perception of auditory scenes and visual scenes, and described a coherent framework for understanding the perceptual organization of sound. His account has stimulated much interest in computational studies of hearing. Such studies are motivated in part by the demand for practical sound separation systems, which have many applications including noiserobust automatic speech recognition, hearing prostheses, and automatic music transcription. This emerging field has become known as computational auditory scene analysis (CASA).Computational Auditory Scene Analysis: Principles, Algorithms, and Applications provides a comprehensive and coherent account of the state of the art in CASA, in terms of the underlying principles, the algorithms and system architectures that are employed, and the potential applications of this exciting new technology. With a Foreword by Bregman, its chapters are written by leading researchers and cover a wide range of topics including:Estimation of multiple fundamental frequenciesFeaturebased and modelbased approaches to CASASound separation based on spatial locationProcessing for reverberant environmentsSegregation of speech and musical signalsAutomatic speech recognition in noisy environmentsNeural and perceptual modeling of auditory organizationThe text is written at a level that will be accessible to graduate students and researchers from related science and engineering disciplines. The extensive bibliography accompanying each chapter will also make this book a valuable reference source. A web site accompanying the text, http://www.casabook.org, features software tools and sound demonstrations.
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