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Distance Method with PCA based Speaker Identification

by Noor Khaled
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 145 - Number 15
Year of Publication: 2016
Authors: Noor Khaled
10.5120/ijca2016910871

Noor Khaled . Distance Method with PCA based Speaker Identification. International Journal of Computer Applications. 145, 15 ( Jul 2016), 19-21. DOI=10.5120/ijca2016910871

@article{ 10.5120/ijca2016910871,
author = { Noor Khaled },
title = { Distance Method with PCA based Speaker Identification },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2016 },
volume = { 145 },
number = { 15 },
month = { Jul },
year = { 2016 },
issn = { 0975-8887 },
pages = { 19-21 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume145/number15/25355-2016910871/ },
doi = { 10.5120/ijca2016910871 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:48:56.729699+05:30
%A Noor Khaled
%T Distance Method with PCA based Speaker Identification
%J International Journal of Computer Applications
%@ 0975-8887
%V 145
%N 15
%P 19-21
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper is dedicated to present statistic method with dimensionality reduction for speaker identification. LPC is involved to formed set of descriptors for the speaker data. The formed descriptors vectors are evaluated to realize dimensionality reduction by PCA. This set of selected features is recognized by distance method. The experimental result revealed that the proposed work is achieved in better performance than without reduction.

References
  1. Bansod N.S., Seema Kawathekar, Dabhade S.B., "Review of Different Techniques for Speaker Recognition System", Advances in Computational Research, Vol.4, No.1, ISSN: 0975-3273, pp. 57-60, 2012.
  2. Qin Jin," Robust Speaker Recognition", PhD thesis, Carnegie Mellon University, 2007.
  3. Jucheng Yang, "Biometrics", In Tech, London, 2011.
  4. Sejal Shah, Archana Bhise, "Fast Speaker Recognition using Efficient Feature Extraction Technique", International Journal of Computer Science and Network, Vol.2, No.1, ISSN: 2277-5420, pp.357-362, 2013.
  5. Arun Kumar G, Harish H.M, Jagadisha N, Srinivasa Raoudara, Spoorti Jainar, "Design and Development of Text-independent Speaker Identification System", IJASCSE, Vol.2, No.3,pp.7-14, 2013.
  6. Nakhat Fatima , Thomas Fang Zheng, "Short Utterance Speaker Recognition", In Proceeding of the 2012International Conference on Systems and Informatics, pp.1746-1750, 2012.
  7. Rajiv Chechi,Reetu," Performance Analysis of MFCC And LPCC Techniques In Automatic Speech Recognition", International Journal of Engineering Research & Technology (IJERT), Vol.2, No.9, ISSN: 2278-0181, pp.3142-3146, 2013.
  8. Nisha.V.S, M. Jayasheela, "Survey on Feature Extraction and Matching Techniques for Speaker Recognition System", International Journal of Advanced Research in Electronics and Communication Engineering (IJARECE), Vol.2, No.3, pp.357-362, 2013.
  9. Thapanee Seehapoch, Sartra Wongthanavasu, "Speech Emotion Recognition Using Support Vector Machines", In proceeding of the 5th international conference on knowledge and smart technology,pp.86-91, 2013.
  10. Yusnita MA, Paulraj MP, Sazali Yaacob, Shahriman AB ,Nor Fadzilah Mokhtar, " Statistical Formant Descriptors with Linear Predictive Coefficients for Accent Classification" , In proceeding of the 8th IEEE Conference on Industrial Electronics and Applications, pp. 906 – 911, 2013.
  11. P.Abinaya, Dr.J.Sutha," Effective Feature Selection For High Dimensional Data using Fast Algorithm", International Journal of Advanced Research in Computer Science & Technology (IJARCST), Vol. 2, No.6, ISSN : 2347 – 9817, pp.1790-1799, 2014.
  12. Shilpa lakhina, Sini Joseph , Bhupendra verma," Feature Reduction using Principal Component Analysis for Effective Anomaly–Based Intrusion Detection on NSL-KDD", International Journal of Engineering Science and Technology, Vol. 2, No.6, pp.1790-1799, 2010.
Index Terms

Computer Science
Information Sciences

Keywords

Pattern Recognition Dimensionality Reduction.

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