Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/26121
Title: Robust speaker verification from GSM-transcoded speech based on decision fusion and feature transformation
Authors: Mak, MW 
Cheung, MC
Kung, SY
Keywords: Cellular radio
Data compression
Feature extraction
Optimisation
Speaker recognition
Speech coding
Stochastic processes
Issue Date: 2003
Publisher: IEEE
Source: 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing : proceedings : April 6-10, 2003, Hong Kong Exhibition and Convention Centre, Hong Kong, v. 2, p. II745-II748 How to cite?
Abstract: In speaker verification, a claimant may produce two or more utterances. Typically, the scores of the speech patterns extracted from these utterances are averaged and the resulting mean score is compared with a decision threshold. Rather than simply computing the mean score, we propose to compute the optimal weights for fusing the scores based on the score distribution of the independent utterances and our prior knowledge about the score statistics. More specifically, we use enrollment data to compute the mean scores of client speakers and impostors and consider them to be the prior scores. During verification, we set the fusion weights for individual speech patterns to be a function of the dispersion between the scores of these speech patterns and the prior scores. Experimental results based on the GSM-transcoded speech of 150 speakers from the HTIMIT corpus demonstrate that the proposed fusion algorithm can increase the dispersion between the mean speaker scores and the mean impostor scores. Compared with a baseline approach where equal weights are assigned to all scores, the proposed approach provides a relative error reduction of 19%.
URI: http://hdl.handle.net/10397/26121
ISBN: 0-7803-7663-3
ISSN: 1520-6149
DOI: 10.1109/ICASSP.2003.1202474
Appears in Collections:Conference Paper

Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page view(s)

36
Last Week
5
Last month
Checked on Sep 24, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.