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Published by Taylor & Francis Ltd, 2019
ISBN 10: 0367447843 ISBN 13: 9780367447847
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Published by CRC Press 2019-12-02, 2019
ISBN 10: 0367447843 ISBN 13: 9780367447847
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Condition: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
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Published by LAP LAMBERT Academic Publishing, 2009
ISBN 10: 3838320913 ISBN 13: 9783838320915
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Taschenbuch. Condition: Neu. A Computational Framework for Sound Segregation in Music Signals | An Auditory Scene Analysis Approach for Modeling Perceptual Grouping in Music Listening | Luís Gustavo Martins | Taschenbuch | 248 S. | Englisch | 2009 | LAP LAMBERT Academic Publishing | EAN 9783838320915 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
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Published by John Wiley & Sons Inc, New York, 2006
ISBN 10: 0471741094 ISBN 13: 9780471741091
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Hardcover. Condition: new. Hardcover. 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 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). 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 frequenciesFeature-based and model-based 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 organization The 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, , features software tools and sound demonstrations. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Published by John Wiley & Sons Inc, 2006
ISBN 10: 0471741094 ISBN 13: 9780471741091
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Published by John Wiley and Sons Ltd, 2006
ISBN 10: 0471741094 ISBN 13: 9780471741091
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Condition: New. 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. Editor(s): Wang, DeLiang; Brown, Guy J. Num Pages: 396 pages, Illustrations. BIC Classification: UYU. Category: (P) Professional & Vocational. Dimension: 235 x 165 x 25. Weight in Grams: 720. . 2006. 1st Edition. Hardcover. . . . .
Language: English
Published by John Wiley & Sons Inc, New York, 2006
ISBN 10: 0471741094 ISBN 13: 9780471741091
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First Edition
Hardcover. Condition: new. Hardcover. 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 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). 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 frequenciesFeature-based and model-based 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 organization The 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, , features software tools and sound demonstrations. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Hardcover. Condition: Brand New. 1st edition. 395 pages. 9.50x6.50x1.00 inches. In Stock.
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