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 conferencePaperpeer-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 languageEnglish
Pages2029-2032
Number of pages4
Publication statusPublished - 2005
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
Country/TerritoryPortugal
CityLisbon
Period05/9/405/9/8

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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