Research and Markets: The Emerging Field Known as Computational Auditory Scene Analysis (CASA) is Analyzed inside This 2006 Market Research.DUBLIN, Ireland -- Research and Markets (http://www.researchandmarkets.com/reports/c46884) has announced the addition of Computational Auditory Scene Analysis Computational auditory scene analysis (CASA) is the study of auditory scene analysis by computational means [1]. In essence, CASA systems are "machine listening" systems that aim to separate mixtures of sound sources in the same way that human listeners do. : Principles, Algorithms, and Applications to their offering. 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 Auditory scene analysis (ASA) is a term coined by the psychologist Albert Bregman [1] to describe the process by which the human auditory system organizes complex mixtures of sound. , 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 Prostheses A synthetic object that resembles a missing anatomical part. Mentioned in: Microphthalmia and Anophthalmia , and automatic music transcription. This emerging field has become known as computational auditory scene analysis (CASA Ca´sa n. 1. A house or mansion. I saw that Enriquez had made no attempt to modernize the old casa, and that even the garden was left in its lawless native luxuriance. - Bret Harte. ). 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 frequencies * Feature-based and model-based approaches to CASA * Sound separation based on spatial location * Processing for reverberant re·ver·ber·ant adj. 1. Having a tendency to reverberate. 2. Characterized by reverberation; resounding. re·ver environments * Segregation of speech and musical signals * Automatic speech recognition in noisy environments * Neural 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 (www.casabook.org) features software tools and sound demonstrations. Author Information Editors DeLiang Wang and Guy J. Brown 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 Ohio State University, main campus at Columbus; land-grant and state supported; coeducational; chartered 1870, opened 1873 as Ohio Agricultural and Mechanical College, renamed 1878. There are also campuses at Lima, Mansfield, Marion, and Newark. . He is an IEEE (Institute of Electrical and Electronics Engineers, New York, www.ieee.org) A membership organization that includes engineers, scientists and students in electronics and allied fields. Fellow. Brown is a Senior Lecturer in the Department of Computer Science at the University of Sheffield The University of Sheffield is a research university, located in Sheffield in South Yorkshire, England. Reputation Sheffield was the Sunday Times University of the Year in 2001 and has consistently appeared as their top 20 institutions. , UK. Content Outline: Foreword. Preface. Contributors. Acronyms. 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 Philip .W. Ellis was Toronto Transportation Commission chairman in the 1920s and died in 1929. Ellis was co-founder of the jewellery and silversmith P.W. Ellis Company Limited with his brother Mathew C. Ellis in 1879. The firm was sold in 1928. ). 5. Binaural binaural /bi·nau·ral/ (bi-naw´r'l) pertaining to both ears. bin·au·ral adj. Having or relating to both ears. binaural pertaining to both ears. 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). Acknowledgments. References. Index. For more information visit http://www.researchandmarkets.com/reports/c46884 |
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