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Author Varga, M. ♦ Lapin, I. ♦ Kacur, J.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2014
Language English
Subject Domain (in DDC) Natural sciences & mathematics ♦ Physics ♦ Electricity & electronics ♦ Technology ♦ Engineering & allied operations ♦ Applied physics
Subject Keyword Decision support systems ♦ Java EE ♦ Speaker identification ♦ GMM ♦ KD-KNN ♦ MFCC
Abstract This paper presents a possible improvement of the performance of a speaker identification web-application by introducing GMM and KD-KNN algorithms. The purpose of the web-application is to allow authentication of the user directly from the web-browser using his voice. The captured speech is streamed to the server where the MFCCs are extracted. The classification phase implements four different algorithms: KNN, KD-KNN, non-adapted GMM and adapted GMM. In this paper, error rate and time execution of each of the implement classification method is presented and discussed. The experimental results are then evaluated and the algorithm with the best performance result is given.
Description Author affiliation: Inst. of Telecommun., Slovak Univ. of Technol., Bratislava, Slovakia (Varga, M.; Lapin, I.; Kacur, J.)
ISBN 9789531841993
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2014-09-10
Publisher Place Croatia
Rights Holder Croatian Society Electronics in Marine - ELMAR
Size (in Bytes) 273.08 kB
Page Count 4
Starting Page 1
Ending Page 4

Source: IEEE Xplore Digital Library