DocumentCode
3633811
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
fYear
2009
Firstpage
1
Lastpage
4
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"
Publisher
ieee
Conference_Titel
AFRICON, 2009. AFRICON ´09.
ISSN
2153-0025
Print_ISBN
978-1-4244-3918-8
Electronic_ISBN
2153-0033
Type
conf
DOI
10.1109/AFRCON.2009.5308553
Filename
5308553
Link To Document