A noise-robust pitch synchronous feature extraction algorithm for speaker recognition systems

Samuel Kim, Sungwan Yoon, Thomas Eriksson, Hong-Goo Kang, Dae Hee Youn

Research output: Contribution to conferencePaper

Abstract

A noise-robust pitch synchronous feature extraction algorithm for speaker recognition systems is proposed in this paper. Since the pitch synchronous algorithms utilize pitch information, which is meaningful only for periodic segments, we propose a new scheme to deal with non-periodic ones such as unvoiced and noise-corrupted. The experimental results show that the proposed algorithm outperforms the conventional algorithm using fixed length of analysis window in actual identification tasks even in low SNR noisy environments.

Original languageEnglish
Pages2029-2032
Number of pages4
Publication statusPublished - 2005 Dec 1
Event9th European Conference on Speech Communication and Technology - Lisbon, Portugal
Duration: 2005 Sep 42005 Sep 8

Other

Other9th European Conference on Speech Communication and Technology
CountryPortugal
CityLisbon
Period05/9/405/9/8

Fingerprint

Feature extraction

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

Kim, S., Yoon, S., Eriksson, T., Kang, H-G., & Youn, D. H. (2005). A noise-robust pitch synchronous feature extraction algorithm for speaker recognition systems. 2029-2032. Paper presented at 9th European Conference on Speech Communication and Technology, Lisbon, Portugal.
Kim, Samuel ; Yoon, Sungwan ; Eriksson, Thomas ; Kang, Hong-Goo ; Youn, Dae Hee. / A noise-robust pitch synchronous feature extraction algorithm for speaker recognition systems. Paper presented at 9th European Conference on Speech Communication and Technology, Lisbon, Portugal.4 p.
@conference{a75b0719cd3a41ada0c5e268d27e7c5f,
title = "A noise-robust pitch synchronous feature extraction algorithm for speaker recognition systems",
abstract = "A noise-robust pitch synchronous feature extraction algorithm for speaker recognition systems is proposed in this paper. Since the pitch synchronous algorithms utilize pitch information, which is meaningful only for periodic segments, we propose a new scheme to deal with non-periodic ones such as unvoiced and noise-corrupted. The experimental results show that the proposed algorithm outperforms the conventional algorithm using fixed length of analysis window in actual identification tasks even in low SNR noisy environments.",
author = "Samuel Kim and Sungwan Yoon and Thomas Eriksson and Hong-Goo Kang and Youn, {Dae Hee}",
year = "2005",
month = "12",
day = "1",
language = "English",
pages = "2029--2032",
note = "9th European Conference on Speech Communication and Technology ; Conference date: 04-09-2005 Through 08-09-2005",

}

Kim, S, Yoon, S, Eriksson, T, Kang, H-G & Youn, DH 2005, 'A noise-robust pitch synchronous feature extraction algorithm for speaker recognition systems' Paper presented at 9th European Conference on Speech Communication and Technology, Lisbon, Portugal, 05/9/4 - 05/9/8, pp. 2029-2032.

A noise-robust pitch synchronous feature extraction algorithm for speaker recognition systems. / Kim, Samuel; Yoon, Sungwan; Eriksson, Thomas; Kang, Hong-Goo; Youn, Dae Hee.

2005. 2029-2032 Paper presented at 9th European Conference on Speech Communication and Technology, Lisbon, Portugal.

Research output: Contribution to conferencePaper

TY - CONF

T1 - A noise-robust pitch synchronous feature extraction algorithm for speaker recognition systems

AU - Kim, Samuel

AU - Yoon, Sungwan

AU - Eriksson, Thomas

AU - Kang, Hong-Goo

AU - Youn, Dae Hee

PY - 2005/12/1

Y1 - 2005/12/1

N2 - A noise-robust pitch synchronous feature extraction algorithm for speaker recognition systems is proposed in this paper. Since the pitch synchronous algorithms utilize pitch information, which is meaningful only for periodic segments, we propose a new scheme to deal with non-periodic ones such as unvoiced and noise-corrupted. The experimental results show that the proposed algorithm outperforms the conventional algorithm using fixed length of analysis window in actual identification tasks even in low SNR noisy environments.

AB - A noise-robust pitch synchronous feature extraction algorithm for speaker recognition systems is proposed in this paper. Since the pitch synchronous algorithms utilize pitch information, which is meaningful only for periodic segments, we propose a new scheme to deal with non-periodic ones such as unvoiced and noise-corrupted. The experimental results show that the proposed algorithm outperforms the conventional algorithm using fixed length of analysis window in actual identification tasks even in low SNR noisy environments.

UR - http://www.scopus.com/inward/record.url?scp=33745188896&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33745188896&partnerID=8YFLogxK

M3 - Paper

SP - 2029

EP - 2032

ER -

Kim S, Yoon S, Eriksson T, Kang H-G, Youn DH. A noise-robust pitch synchronous feature extraction algorithm for speaker recognition systems. 2005. Paper presented at 9th European Conference on Speech Communication and Technology, Lisbon, Portugal.