@ARTICLE{Lv_Gang_Joint_2012,
 author={Lv, Gang and Zhao, Heming},
 volume={vol. 37},
 number={No 4},
 journal={Archives of Acoustics},
 pages={555-559},
 howpublished={online},
 year={2012},
 publisher={Polish Academy of Sciences, Institute of Fundamental Technological Research, Committee on Acoustics},
 abstract={A speaker recognition system based on joint factor analysis (JFA) is proposed to improve whispering speakers’ recognition rate under channel mismatch. The system estimated separately the eigenvoice and the eigenchannel before calculating the corresponding speaker and the channel factors. Finally, a channel-free speaker model was built to describe accurately a speaker using model compensation. The test results from the whispered speech databases obtained under eight different channels showed that the correct recognition rate of a recognition system based on JFA was higher than that of the Gaussian Mixture Model-Universal Background Model. In particular, the recognition rate in cellphone channel tests increased significantly.},
 type={Artykuły / Articles},
 title={Joint Factor Analysis of Channel Mismatch in Whispering Speaker Verification},
 URL={http://journals.pan.pl/Content/101629/PDF/16_paper.pdf},
 doi={10.2478/v10168-012-0065-9},
 keywords={joint factor analysis, whisper, speaker verification.},
}