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Speech and audio signal processing; processing and perception of speech and music, 2d ed.

9780470195369

Speech and audio signal processing; processing and perception of speech and music, 2d ed.

Gold, Ben and Nelson Morgan, Dan Ellis.

John Wiley & Sons

2011

661 pages

$110.00

Hardcover

TK7882

The late Gold (Massachusetts Institute of Technology and U. of California at Berkeley), Morgan (electrical engineering and computer sciences, U. of California at Berkeley), and Ellis (electrical engineering, Columbia U.) offer a comprehensive text for graduate students and professionals that examines topics in speech and audio signal processing (ASR) and how machines and humans process audio signals, focusing on basic material and some advanced topics. They describe speech and music processing from a historical perspective; the basic elements of digital signal processing and pattern recognition; acoustics; auditory perception; speech features; automatic speech recognition; synthesis and coding; and other applications, such as music synthesis. Some experience with core math concepts such as difference equations or probability density functions is assumed, but review is included. This edition has new chapters on acoustic model training, with topics like MAP (maximum a posteriori) and MLLR (maximum likelihood linear regression) adaptation methods and MMI (maximum mutual information) and MPE (minimum phone error) discriminant training; perceptual audio coding, with discussion of MPEG audio and the related psychoacoustics; music signal analysis and automatic transcription of music; music retrieval, including cover song detection; source separation and methods to separate different signals, including CASA (computational auditory scene analysis) and multi-microphone methods; and speaker diarization. Chapters on speech synthesis, speaker verification, and linguistic categories for speech recognition have been rewritten, and those on ASR history and feature extraction for automatic speech recognition have been updated. A description of the support vector machine has been added, and the introduction has been modified.

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Publication:Reference & Research Book News
Article Type:Book review
Date:Feb 1, 2013
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