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Machine Audition: Principles, Algorithms and Systems
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Machine Audition: Principles, Algorithms and Systems Hardcover - 2010 - 1st Edition

by Wenwu Wang (Editor)


From the publisher

Machine audition is the study of algorithms and systems for the automatic analysis and understanding of sound by machine. It has recently attracted increasing interest within several research communities, such as signal processing, machine learning, auditory modeling, perception and cognition, psychology, pattern recognition, and artificial intelligence. However, the developments made so far are fragmented within these disciplines, lacking connections and incurring potentially overlapping research activities in this subject area. Machine Audition: Principles, Algorithms and Systems contains advances in algorithmic developments, theoretical frameworks, and experimental research findings. This book is useful for professionals who want an improved understanding about how to design algorithms for performing automatic analysis of audio signals, construct a computing system for understanding sound, and learn how to build advanced human-computer interactive systems.

Details

  • Title Machine Audition: Principles, Algorithms and Systems
  • Author Wenwu Wang (Editor)
  • Binding Hardcover
  • Edition number 1st
  • Edition 1
  • Pages 556
  • Volumes 1
  • Language ENG
  • Publisher Information Science Reference
  • Date 2010-07-31
  • ISBN 9781615209194 / 1615209190
  • Weight 3.39 lbs (1.54 kg)
  • Dimensions 11.1 x 8.6 x 1.4 in (28.19 x 21.84 x 3.56 cm)
  • Library of Congress subjects Signal processing, Auditory perception - Computer simulation
  • Library of Congress Catalog Number 2010010161
  • Dewey Decimal Code 006.45

Media reviews

Citations

  • Reference and Research Bk News, 02/01/2011, Page 340
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Machine Audition: Principles, Algorithms and Systems
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Machine Audition
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