Title :
Robust features for speech recognition based on admissible wavelet packets
Author :
Farooq, O. ; Datta, S.
Author_Institution :
Dept. of Electron. & Electr. Eng., Loughborough Univ. of Technol., UK
fDate :
12/6/2001 12:00:00 AM
Abstract :
A six-band filter structure derived by using admissible wavelet packets for the extraction of the features for recognition of noisy speech is proposed. A simple compensation for white Gaussian noise is carried out and the recognition performance is compared with the features based on Mel scale cepstral coefficients (MFCC) and 24-band admissible wavelet packet filter structure
Keywords :
Gaussian noise; cepstral analysis; compensation; feature extraction; speech recognition; wavelet transforms; white noise; Mel scale cepstral coefficients; admissible wavelet packets; compensation; feature extraction; recognition performance; six-band filter structure; speech recognition; white Gaussian noise;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20011029
