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

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

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

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

Department of Electrical and Electronic Engineering

Research output: Contribution to conference › Paper › peer-review

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 language	English
Pages	2029-2032
Number of pages	4
Publication status	Published - 2005
Event	9th European Conference on Speech Communication and Technology - Lisbon, Portugal Duration: 2005 Sept 4 → 2005 Sept 8

Other

Other	9th European Conference on Speech Communication and Technology
Country/Territory	Portugal
City	Lisbon
Period	05/9/4 → 05/9/8

All Science Journal Classification (ASJC) codes

Engineering(all)

Cite this

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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 Kang, {Hong Goo} and Youn, {Dae Hee}",

year = "2005",

language = "English",

pages = "2029--2032",

note = "9th European Conference on Speech Communication and Technology ; Conference date: 04-09-2005 Through 08-09-2005",

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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

Y1 - 2005

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.

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

M3 - Paper

AN - SCOPUS:33745188896

SP - 2029

EP - 2032

T2 - 9th European Conference on Speech Communication and Technology

Y2 - 4 September 2005 through 8 September 2005

ER -

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

Abstract

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All Science Journal Classification (ASJC) codes

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