Speaker Identification and Verification from Audio Coded Speech in Matched and Mismatched Conditions

被引：6
|
作者：
Jiang, Tao [1 ]
Gao, Boyang [1 ]
Han, Jiqing [1 ]
机构：
[1] Harbin Inst Technol, Sch Comp Sci & Technol, Harbin 150006, Peoples R China
来源：
2009 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (ROBIO 2009), VOLS 1-4 | 2009年
关键词：
MODELS;
D O I：
10.1109/ROBIO.2009.5420478
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We investigate the effect of audio coding on speaker identification and verification when training and testing conditions are matched and mismatched. Experiments use popular audio coding algorithms (Windows Media Audio 9.1, Advanced Audio Coding, MPEG Audio Layer III) and a speaker identification and verification system based on Gaussian mixture models. There is some loss in identification and verification performance for audio coding process without the change of sample rate, and a great loss when sample rate changes during audio coding process.
引用
收藏
页码：2199 / 2204
页数：6
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