Text-dependent speaker recognition using the Fuzzy ARTMAP neural network

Woo, Siew Chan, Lim, Chee Peng and Osman, R. 2000, Text-dependent speaker recognition using the Fuzzy ARTMAP neural network, in TENCON 2000 : Proceedings : Intelligent systems and technologies for the new millennium, IEEE, Piscataway, N. J., pp. I-33-I-38, doi: 10.1109/TENCON.2000.893535.

Attached Files
Name Description MIMEType Size Downloads

Title Text-dependent speaker recognition using the Fuzzy ARTMAP neural network
Author(s) Woo, Siew Chan
Lim, Chee PengORCID iD for Lim, Chee Peng orcid.org/0000-0003-4191-9083
Osman, R.
Conference name Trends in Electronics Conference (2000 : Kuala Lumpur, Malaysia)
Conference location Kuala Lumpur, Malaysia
Conference dates 24-27 Sept. 2000
Title of proceedings TENCON 2000 : Proceedings : Intelligent systems and technologies for the new millennium
Editor(s) [Unknown]
Publication date 2000
Conference series Trends in Electronics Conference
Start page I-33
End page I-38
Total pages 6
Publisher IEEE
Place of publication Piscataway, N. J.
Keyword(s) artificial intelligence
artificial neural networks
automatic speech recognition
feature extraction
information analysis
intelligent systems
signal processing
speaker recognition
speech analysis
speech processing
Summary Speaker recognition is the process of automatically recognizing the speaker by analyzing individual information contained in the speech waves. In this paper, we discuss the development of an intelligent system for text-dependent speaker recognition. The system comprises two main modules, a wavelet-based signal-processing module for feature extraction of speech waves, and an artificial-neural-network-based classifier module to identify and categorize the speakers. Wavelet is used in de-noising and in compressing the speech signals. The wavelet family that we used is the Daubechies Wavelets. After extracting the necessary features from the speech waves, the features were then fed to a neural-network-based classifier to identify the speakers. We have implemented the Fuzzy ARTMAP (FAM) network in the classifier module to categorize the de-noised and compressed signals. The proposed intelligent learning system has been applied to a case study of text-dependent speaker recognition problem.
ISBN 0780363558
Language eng
DOI 10.1109/TENCON.2000.893535
Field of Research 099999 Engineering not elsewhere classified
Socio Economic Objective 970109 Expanding Knowledge in Engineering
HERDC Research category E1.1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30048736

Document type: Conference Paper
Collections: Institute for Frontier Materials
GTP Research
Connect to link resolver
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 1 times in TR Web of Science
Scopus Citation Count Cited 3 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 408 Abstract Views, 2 File Downloads  -  Detailed Statistics
Created: Wed, 26 Sep 2012, 09:13:33 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.