Wang deliang (27 risultati)

Paperback. Condizione: Very Good. Sorry, No international shipping on this item.Ex-library paperback in very nice condition with the usual markings and attachments. Text block clean and unmarked. Tight binding.

Condizione: good. The book is in good condition with all pages and cover intact, including the dust jacket if originally issued. The spine may show light wear. Pages may contain some notes or highlighting, and there might be a "From the library of" label. Boxed set packaging, shrink wrap, or included media like CDs may be missing.…

hardcover. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: 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.…

Condizione: new.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New. In English.

Condizione: New.

Hardback. Condizione: New. New copy - Usually dispatched within 4 working days.

Condizione: New. pp. xxiii + 395 Illus.

Condizione: 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. . . . . …

Condizione: New. pp. xxiii + 395.

Gebunden. Condizione: 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.

Hardcover. Condizione: Brand New. 1st edition. 395 pages. 9.50x6.50x1.00 inches. In Stock.

Condizione: 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. . . . . Books ship from the US and Ireland. …

Paperback. Condizione: Very Good. Very Good .Ships From Multiple Locations. book.

Condizione: As New. Unread book in perfect condition.

Hardcover. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Condizione: As New. Unread book in perfect condition.

Hardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 806.

Hardcover. Condizione: 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Hardcover. Condizione: Brand New. 1st edition. 395 pages. 9.50x6.50x1.00 inches. In Stock. This item is printed on demand.

Condizione: New. PRINT ON DEMAND pp. xxiii + 395.