Title :
Wavelet packet cepstral analysis for speaker recognition
Author :
Kinney, Albert ; Stevens, John
Author_Institution :
U.S Naval Security Group Activity, Yokosuka, Japan
Abstract :
A novel processing technique for speaker recognition applications is introduced. It was shown that feature extraction based on cepstral analysis of the wavelet packet decomposition can provide significant inter-speaker separation. This idea is based on deconvolution of the vocal tract and excitation source components through homomorphic decomposition of a signal´s multiresolution wavelets. A simple neural network technique is employed to classify the feature vector obtained through wavelet packet cepstral analysis.
Keywords :
cepstral analysis; deconvolution; feature extraction; neural nets; speaker recognition; wavelet transforms; cepstral analysis; excitation source components; homomorphic decomposition; interspeaker separation; neural network; signal multiresolution wavelets; speaker recognition; vocal tract deconvolution; wavelet packet decomposition; Cepstral analysis; Cepstrum; Feature extraction; Frequency; Loudspeakers; Signal resolution; Speaker recognition; Time domain analysis; Wavelet analysis; Wavelet packets;
Conference_Titel :
Signals, Systems and Computers, 2002. Conference Record of the Thirty-Sixth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-7803-7576-9
DOI :
10.1109/ACSSC.2002.1197177
