NDLI: Performance test of parameters for speaker recognition system based on SVM-VQ

Content Provider	IEEE Xplore Digital Library
Author	Hai-Yan Yang Xin-Xing Jing
Copyright Year	2012
Description	Author affiliation: School of Information and Communication, Guilin University of Electronic Technology, 541004, China (Hai-Yan Yang; Xin-Xing Jing)
Abstract	Many parameters can be extracted from a speech signal, including pitch, LPCC, ALPCC, P ARC OR, MFCC, AMFCC, RCEP etc. These parameters have different effectiveness for a speaker recognition system. In order to improve recognition efficiency and obtain a practical speaker recognition system, it is necessary for research feature parameters, that is the main contents of this article. Different parameters are extracted using the method of signal processing including time domain and frequency domain in this paper. These features are analyzed and compared, and the mixed features' effect on the performance of the recognition system is also researched. In order to compare the efficiency of some parameters for speaker recognition system, the identification method based on SVM-VQ on time-frequency domain is chosen. Compared with SVM or VQ recognition method, the method based on SVM-VQ takes less computation, and has better noise immunity and better robustness. The experimental results show that some parameters have great influence on the system performance, such as pitch extracted using wavelet, LPCC and ALPCC, as well as MFCC and AMFCC. The experimental results also show that the recognition rate is obviously improved using mixed parameters in the system.
Starting Page	321
Ending Page	325
File Size	712709
Page Count	5
File Format	PDF
ISBN	9781467314848
ISSN	2160133X
e-ISBN	9781467314879
DOI	10.1109/ICMLC.2012.6358933
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-15
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Mel frequency cepstral coefficient Abstracts Filter banks Vector quantization(VQ) Speaker recognition Parameter evaluation Support vector machine(SVM)
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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