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Application of Wavelets in Speech ProcessingSpeech Coding, Synthesis, and Compression

Application of Wavelets in Speech Processing: Speech Coding, Synthesis, and Compression [WT-based coding allows for the control of frequency resolution to closely match the response of the human auditory system. The inherent shaping of the wavelet synthesis filter and a controlled bit allocation to the wavelet coefficients help to minimize the perceptually significant noise due to the quantization error in the residual. Experimental results show that WT-coders deliver superior quality to some audio standards when operating at the same bit rate and comparable quality to other codecs at lower bit rates. As a result, transform compression using WT can provide an efficient and flexible scheme for audio compression.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Application of Wavelets in Speech ProcessingSpeech Coding, Synthesis, and Compression

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Publisher
Springer International Publishing
Copyright
© The Author(s) 2014
ISBN
978-3-319-02731-9
Pages
41 –42
DOI
10.1007/978-3-319-02732-6_10
Publisher site
See Chapter on Publisher Site

Abstract

[WT-based coding allows for the control of frequency resolution to closely match the response of the human auditory system. The inherent shaping of the wavelet synthesis filter and a controlled bit allocation to the wavelet coefficients help to minimize the perceptually significant noise due to the quantization error in the residual. Experimental results show that WT-coders deliver superior quality to some audio standards when operating at the same bit rate and comparable quality to other codecs at lower bit rates. As a result, transform compression using WT can provide an efficient and flexible scheme for audio compression.]

Published: Dec 10, 2013

Keywords: Audio coding; Subband coding; Wavelet transform coding; Warped filter

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