{"product_id":"9780471741091","title":"Computational Auditory Scene Analysis Principles, Algorithms, and Applications","description":"\u003ch1\u003eComputational Auditory Scene Analysis\u003c\/h1\u003e\u003ch2\u003ePrinciples, Algorithms, and Applications\u003c\/h2\u003e\u003ch3\u003eDeLiang Wang | Guy J. Brown\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eTechnology \u0026amp; Engineering \/ Electronics \/ General\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003eHow can we engineer systems capable of \"cocktail party\" listening?  \u003cp\u003eHuman 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?\u003c\/p\u003e \u003cp\u003eAlbert Bregman's 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 noise-robust automatic speech recognition, hearing prostheses, and automatic music transcription. This emerging field has become known as computational auditory scene analysis (CASA).\u003c\/p\u003e \u003cp\u003eComputational 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:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eEstimation of multiple fundamental frequencies\u003c\/li\u003e \u003cli\u003eFeature-based and model-based approaches to CASA\u003c\/li\u003e \u003cli\u003eSound separation based on spatial location\u003c\/li\u003e \u003cli\u003eProcessing for reverberant environments\u003c\/li\u003e \u003cli\u003eSegregation of speech and musical signals\u003c\/li\u003e \u003cli\u003eAutomatic speech recognition in noisy environments\u003c\/li\u003e \u003cli\u003eNeural and perceptual modeling of auditory organization\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eThe 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, \u003ca href=\"http:\/\/www.casabook.org\/\"\u003ehttp:\/\/www.casabook.org\u003c\/a\u003e, features software tools and sound demonstrations.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e  Editors \u003cb\u003eDeLIANG WANG\u003c\/b\u003e and \u003cb\u003eGUY J. BROWN\u003c\/b\u003e are well-known for their contributions to the development of CASA. Wang is a Professor in the Department of Computer Science and Engineering and the Center for Cognitive Science at The Ohio State University. He is an IEEE Fellow. Brown is a Senior Lecturer in the Department of Computer Science at the University of Sheffield, UK. \u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e29 September 2006\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eWiley-IEEE Press\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9780471741091\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003eHardback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e424\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight (oz): \u003c\/td\u003e\n\u003ctd\u003e25.44\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":44310801350796,"sku":"9780471741091","price":138.56,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9780471741091_2a89e4b6-38d5-4677-b851-8b326f2a81a5.jpg?v=1780111674","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9780471741091","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}