| Description |
1 online resource (xxiii, 395 pages) : illustrations |
| Contents |
1. Fundamentals of computational auditory scene analysis / DeLiang Wang and Guy J. Brown -- 2. Multiple F0 estimation / Alain de Cheveigne -- 3. Feature-based speech segregation / DeLiang Wang -- 4. Model-based scene analysis / Daniel P. W. Ellis -- 5. Binaural sound localization / Richard M. Stern, Guy J. Brown and DeLiang Wang -- 6. Localization-based grouping / Albert S. Feng and Douglas L. Jones -- 7. Reverberation / Guy J. Brown and Kalle J. Palomaki -- 8. Analysis of musical audio signals / Masataka Goto -- 9. Robust automatic speech recognition / Jon Barker -- 10. Neural and perceptual modeling / Guy J. Brown and DeLiang Wang |
| Summary |
Annotation 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 |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Print version record |
| Subject |
Auditory perception.
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Auditory perception -- Computer simulation
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Auditory Perception
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Auditory perception
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Auditory perception -- Computer simulation
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Akustische Analyse
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Akustisches Wellenfeld
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Computerunterstütztes Verfahren
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Hören
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Szenenanalyse
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Computerunterstèutztes Verfahren.
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Hèoren.
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| Form |
Electronic book
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| Author |
Wang, DeLiang, 1963-
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Brown, Guy J
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| ISBN |
9780470043387 |
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0470043385 |
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9780471741091 |
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0471741094 |
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