Title :
Best Basis selection of the Wavelet Packet Cosine Transform in speech analysis
Author :
Jakub Galka;Mariusz Ziolko
Author_Institution :
Department of Electronics, AGH University of Science and Technology, Krak?w, Poland
Abstract :
In this paper a new application of the wavelet packet cosine transform (WPCT), used in the adaptive wavelet parameterization scheme, is presented. This is an extension of the best basis algorithm. Obtained optimized wavelet decomposition schemes are used for speech feature extraction and are tested using Polish language hidden Markov model (HMM) phone-classifier.
Keywords :
"Wavelet analysis","Wavelet packets","Wavelet transforms","Speech analysis","Wavelet coefficients","Cost function","Discrete wavelet transforms","Entropy","Neodymium","Cepstral analysis"
Conference_Titel :
AFRICON, 2009. AFRICON ´09.
Print_ISBN :
978-1-4244-3918-8
Electronic_ISBN :
2153-0033
DOI :
10.1109/AFRCON.2009.5308553
