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Speaker Recognition from Noisy Spoken Sentences
by
Fatima K. Faek,
Abdulbasit K. Al-talabani
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 70 - Number 20 |
| Year of Publication: 2013 |
| Authors: Fatima K. Faek, Abdulbasit K. Al-talabani |
10.5120/12182-8213
|
Fatima K. Faek, Abdulbasit K. Al-talabani . Speaker Recognition from Noisy Spoken Sentences. International Journal of Computer Applications. 70, 20 ( May 2013), 11-14. DOI=10.5120/12182-8213
@article{
10.5120/12182-8213,
author = {
Fatima K. Faek,
Abdulbasit K. Al-talabani
},
title = { Speaker Recognition from Noisy Spoken Sentences },
journal = {
International Journal of Computer Applications
},
issue_date = { May 2013 },
volume = { 70 },
number = { 20 },
month = { May },
year = { 2013 },
issn = { 0975-8887 },
pages = {
11-14
},
numpages = {9},
url = {
https://ijcaonline.org/archives/volume70/number20/12182-8213/
},
doi = { 10.5120/12182-8213 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:33:21.801618+05:30
%A Fatima K. Faek
%A Abdulbasit K. Al-talabani
%T Speaker Recognition from Noisy Spoken Sentences
%J International Journal of Computer Applications
%@ 0975-8887
%V 70
%N 20
%P 11-14
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract
In this paper a text independent speaker recognizer from controlled noisy speech signals has been investigated. A recorded data is used for 20 Kurdish speakers (10 males, and 10 females) . The feature used in this work is the MFCC, and k-NN is used as a classifier. The recognition performance from the noisy speech signals has been improved by a de-noising technique using wavelet transform. The result show that the de-noising technique could improve the performance of speaker recognizer by about 36%.
References
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Index Terms
Computer Science
Information Sciences
Keywords