Best Basis selection of the Wavelet Packet Cosine Transform in speech analysis

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.