NDLI: Development of a speaker recognition system using wavelets and artificial neural networks

Content Provider	IEEE Xplore Digital Library
Author	Siew Chan Woo Chee Peng Lim Osman, R.
Copyright Year	2001
Description	Author affiliation: Sch. of Distance Educ., Univ. Sains Malaysia, Penang, Malaysia (Siew Chan Woo)
Abstract	We address the problem of speaker recognition from speech signals. The study focuses on the development of a speaker recognition system comprising two modules: a wavelet-based feature extractor, and a neural network-based classifier. We have conducted a number of experiments to investigate the applicability of a discrete Wavelet transform (DWT) in extracting discriminative features from the speech signals, and have examined various models from the adaptive resonance theory (ART) family of neural networks in classifying the extracted features. The results indicate that DWT could be a potential feature extraction tool for speaker recognition. In addition, the ART-based classifiers have yielded very promising recognition accuracy at more than 81%.
Starting Page	413
Ending Page	416
File Size	405186
Page Count	4
File Format	PDF
ISBN	9628576623
DOI	10.1109/ISIMP.2001.925421
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-05-04
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Continuous wavelet transforms Cepstral analysis Filtering Hidden Markov models Artificial neural networks Feature extraction Speech Speaker recognition Discrete wavelet transforms Data mining
Content Type	Text
Resource Type	Article

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