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Application of Wavelets in Speech ProcessingSpeaker Recognition

Application of Wavelets in Speech Processing: Speaker Recognition [MFCC features are widely used in speaker recognition. However, MFCC is not suitable for identifying a speaker since they should be located in high frequency regions, while the Mel scale gets coarser in the higher frequency bands. The speaker individual information, which is nonuniformly distributed in the high frequencies, is equally important for speaker recognition; accordingly, wavelet-based features are more appropriate than MFCC.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Application of Wavelets in Speech ProcessingSpeaker Recognition

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/lp/springer-journals/application-of-wavelets-in-speech-processing-speaker-recognition-fUJthiU8uO
Publisher
Springer International Publishing
Copyright
© The Author(s) 2014
ISBN
978-3-319-02731-9
Pages
33 –35
DOI
10.1007/978-3-319-02732-6_8
Publisher site
See Chapter on Publisher Site

Abstract

[MFCC features are widely used in speaker recognition. However, MFCC is not suitable for identifying a speaker since they should be located in high frequency regions, while the Mel scale gets coarser in the higher frequency bands. The speaker individual information, which is nonuniformly distributed in the high frequencies, is equally important for speaker recognition; accordingly, wavelet-based features are more appropriate than MFCC.]

Published: Dec 10, 2013

Keywords: Wavelet analysis; Speaker identification; Speaker recognition; Speaker verification

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