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A Survey on Speaker Recognition with Various Feature Extraction Techniques

Parmar Dharmistha R1

Section:Survey Paper, Product Type: Journal Paper
Volume-7 , Issue-2 , Page no. 884-887, Feb-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i2.884887

Online published on Feb 28, 2019

Copyright © Parmar Dharmistha R . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Parmar Dharmistha R, “A Survey on Speaker Recognition with Various Feature Extraction Techniques,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.2, pp.884-887, 2019.

MLA Style Citation: Parmar Dharmistha R "A Survey on Speaker Recognition with Various Feature Extraction Techniques." International Journal of Computer Sciences and Engineering 7.2 (2019): 884-887.

APA Style Citation: Parmar Dharmistha R, (2019). A Survey on Speaker Recognition with Various Feature Extraction Techniques. International Journal of Computer Sciences and Engineering, 7(2), 884-887.

BibTex Style Citation:
@article{R_2019,
author = {Parmar Dharmistha R},
title = {A Survey on Speaker Recognition with Various Feature Extraction Techniques},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {2 2019},
volume = {7},
Issue = {2},
month = {2},
year = {2019},
issn = {2347-2693},
pages = {884-887},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3763},
doi = {https://doi.org/10.26438/ijcse/v7i2.884887}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i2.884887}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3763
TI - A Survey on Speaker Recognition with Various Feature Extraction Techniques
T2 - International Journal of Computer Sciences and Engineering
AU - Parmar Dharmistha R
PY - 2019
DA - 2019/02/28
PB - IJCSE, Indore, INDIA
SP - 884-887
IS - 2
VL - 7
SN - 2347-2693
ER -

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Abstract

Speech processing is one of the important application area of digital signal processing. For this purpose, speaker recognition is dominating today’s world. Speaker recognition is a process of speaker identification and speaker verification refers to specific tasks. Speaker recognition is the process of identifying a speaker by his/her speech samples. By extracting the speaker-specific features from the speech samples, the recognition task can be done. Speaker recognition technique is one of the most helpful recognition techniques in today world. It is very important to efficiently work without fail of Recognition system and identify correct person. Speaker recognition is to extract, characterize and recognize the information about speaker identity. This system involves many stages with multiple techniques for each. In this paper, the performance of Mel Frequency Cepstral Coefficient (MFCC), VQ vector quantization and Linear Prediction Coding (LPC) speaker recognition system using method. It is found that the MFCC is offer better recognition rate as contrasted to BFCC using VQ vector quantization as speaker modeling technique. The best technique in each stage makes the system more accurate and efficient.

Key-Words / Index Term

Speaker Recognition, Speaker identification and verification, vector quantization, Mel Frequency

References

[1] Mahaveer Chougala1’ Novel Text Independent Speaker Recognition Using LPC Based Formants’ 978-1-4673-9939-5/16/$31.00 ©2016 IEEE
[2] Md. R. Hasan, M. Jamil, Md. G. Rabbani, Md. S. Rahman, “Speaker Identification using Mel Frequency Cepstral Coefficients,” Third International Conference on Electrical & Computer Engineering ICECE, Dhaka, 2004
[3] A. Zulfiqar, T. Enriquez, “A Speaker Identification System Using MFCC Features with VQ Technique,” Third International Symposium on Intelligent Information Technology Application, vol.3, pp.115 – 118, Mar. 2009.
[4] Kinnunen T.and Kärkkäinen I., "Class-Discriminative Weighted Distortion Measure for VQ-Based Speaker Identification". Joint IAPR Int. Workshop on Statistical Pattern Recognition (SPR`2002), Windsor, Canada, 681-688, August 2002.
[5] Dorra Gargouri, Med Ali Kammoun, “A Comparative Study of Formant Frequencies Estimation Techniques”, Proceedings of the 5th WSEAS International Conference on Signal Processing, Istanbul, Turkey, May 27-29, 2006.