Title :
The use of wavelet transforms in phoneme recognition
Author :
Tan, Beng T. ; Fu, Minyue ; Spray, Andrew ; Dermody, Phillip
Author_Institution :
Dept. of Electr. & Comput. Eng., Newcastle Univ., NSW, Australia
Abstract :
The study investigates the usefulness of wavelet transforms in phoneme recognition. Both discrete wavelet transforms (DWT) and sampled continuous wavelet transforms (SCWT) are tested. The wavelet transform is used as a part of the front-end processor which extracts feature vectors for a speaker-independent HMM-based phoneme recognizer. The results are evaluated on a portion of the TIMIT corpus consisting of 30293 phoneme tokens for training and 14489 phoneme tokens for testing. The test results suggest that SCWT gives a considerably better recognition rate than DWT. On the other hand, the improvement of SCWT over Mel-scale cepstral coefficients appears to be marginal
Keywords :
acoustic signal processing; feature extraction; hidden Markov models; speech processing; speech recognition; wavelet transforms; Mel-scale cepstral coefficients; TIMIT corpus; discrete wavelet transforms; feature vector extraction; front-end processor; phoneme recognition; phoneme tokens; recognition rate; sampled continuous wavelet transforms; speaker-independent HMM-based phoneme recognizer; testing; training; Cepstral analysis; Continuous wavelet transforms; Discrete wavelet transforms; Fourier transforms; Frequency; Sampling methods; Speech analysis; Testing; Wavelet analysis; Wavelet transforms;
Conference_Titel :
Spoken Language, 1996. ICSLP 96. Proceedings., Fourth International Conference on
Conference_Location :
Philadelphia, PA
Print_ISBN :
0-7803-3555-4
DOI :
10.1109/ICSLP.1996.607300
