Multi-SNR GMMs-based noise-robust speaker verification using 1/fα noises

被引：0
|
作者：
Yang, Liping [1 ]
Gong, Weiguo [1 ]
机构：
[1] Chongqing Univ, Minist Educ, Key Lab Optoelect Technol & Syst, Chongqing 400044, Peoples R China
来源：
18TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 4, PROCEEDINGS | 2006年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Environmental noises greatly degrade the performance of speaker verification system. This paper designs a novel noise-robust speaker verification system based on multi-SNR techniques using 1/f(alpha) noises. During training phase, the 1/f(alpha) noises are employed to simulate environmental noises. To simplify the computation load, an optimal value of a is selected. To evaluate the performance of the system, speaker verification experiments are conducted on 5 kinds of environmental noises: "airport", "bus", "lobby", "restaurant", and "office" at 0dB SNR. The experimental results demonstrate that a notable degradation of verification error rates is obtained while using 1/f(alpha) noises.
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页码：241 / +
页数：2
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