logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Computational Auditory Scene Analysis Principles Algorithms And Applications 1st Edition Deliang Wang

  • SKU: BELL-2267772
Computational Auditory Scene Analysis Principles Algorithms And Applications 1st Edition Deliang Wang
$ 31.00 $ 45.00 (-31%)

4.8

94 reviews

Computational Auditory Scene Analysis Principles Algorithms And Applications 1st Edition Deliang Wang instant download after payment.

Publisher: Wiley-IEEE Press
File Extension: DJVU
File size: 8.25 MB
Pages: 419
Author: DeLiang Wang, Guy J. Brown
ISBN: 0471741094
Language: English
Year: 2006
Edition: 1

Product desciption

Computational Auditory Scene Analysis Principles Algorithms And Applications 1st Edition Deliang Wang by Deliang Wang, Guy J. Brown 0471741094 instant download after payment.

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 frequencies Feature-based and model-based approaches to CASA Sound separation based on spatial location Processing for reverberant 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, http://www.casabook.org, features software tools and sound demonstrations.

Related Products