Speaker Identification and Verification from Audio Coded Speech in Matched and Mismatched Conditions
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.
Tao Jiang Boyang Gao Jiqing Han
Speech Research,School of Computer Science and Technology,Harbin Institute of Technology,Harbin
国际会议
2009 IEEE International Conference on Robotics and Biomimetics(2009 IEEE 机器人与仿生技术国际会议 ROBIO 2009)
桂林
英文
2199-2204
2009-12-19(万方平台首次上网日期,不代表论文的发表时间)