DocumentCode
1501435
Title
Mel filter-like admissible wavelet packet structure for speech recognition
Author
Farooq, O. ; Datta, S.
Author_Institution
Dept. of Electron. & Electr. Eng., Loughborough Univ. of Technol., UK
Volume
8
Issue
7
fYear
2001
fDate
7/1/2001 12:00:00 AM
Firstpage
196
Lastpage
198
Abstract
A new filter structure using admissible wavelet packet analysis is presented. These filters have the advantage of having frequency bands spacing similar to the Mel scale. Further wavelet packet transform´s multiresolution capabilities are used to derive new sets of features, which are found to be superior to Mel frequency cepstral coefficients (MFCC) in unvoiced phoneme classification problems.
Keywords
cepstral analysis; feature extraction; filtering theory; pattern classification; speech recognition; wavelet transforms; Mel filter; Mel frequency cepstral coefficients; Mel scale; admissible wavelet packet analysis; conjugate mirror filters; multiresolution capabilities; speech recognition; unvoiced phoneme classification; Binary trees; Cepstral analysis; Discrete wavelet transforms; Filters; Fourier transforms; Mel frequency cepstral coefficient; Signal resolution; Speech recognition; Wavelet analysis; Wavelet packets;
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/97.928676
Filename
928676
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