Evaluation of speech enhancement techniques for speaker identification in noisy environments

被引：23
|
作者：
El-Solh, A. [1 ]
Cuhadar, A. [1 ]
Goubran, R. A. [1 ]
机构：
[1] Carleton Univ, Ottawa, ON K1S 5B6, Canada
来源：
ISM WORKSHOPS 2007: NINTH IEEE INTERNATIONAL SYMPOSIUM ON MULTIMEDIA - WORKSHOPS, PROCEEDINGS | 2007年
关键词：
D O I：
10.1109/ISM.Workshops.2007.47
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
In automatic speaker recognition applications, the presence of background noise severely degrades the performance of such systems. One solution to this problem is to use speech enhancement techniques aimed at reducing the acoustical noise in the speech signal, applied prior to the speaker recognizer. In this paper, we evaluate the impact Of different speech enhancement techniques for robust speaker identification We use clean speech corpus from TIMIT database and combine the speech signal with different types of noise from the NOISEX-92 database. Our results show that better speaker identification rates are attainable under mismatched conditions especially at low signal-to-noise ratios (SNRs).
引用
收藏
页码：235 / 239
页数：5
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