DocumentCode
2223466
Title
Voiceprint Verification Based on Two-Level Decision HMM-UBM
Author
Chen, Yan ; Hong, Qingyang
Author_Institution
Inst. of Artificial Intell., Xiamen Univ., Xiamen, China
fYear
2009
fDate
26-28 Dec. 2009
Firstpage
3556
Lastpage
3559
Abstract
Voiceprint recognition is a new technology of biology authentication, and the most important task of it is to reduce both the false rejection rate (FRR) and false acceptation rate (FAR). To build a highly reliable voiceprint recognition system, this paper proposes three novel methods: two-level decision based on HMM-UBM, Model Distance and Dynamic Threshold. The evaluation results demonstrated that our methods had good performance.
Keywords
hidden Markov models; speaker recognition; biology authentication; false acceptation rate; false rejection rate; model distance-dynamic threshold; two-level decision HMM-UBM; voiceprint verification; Artificial intelligence; Authentication; Automatic speech recognition; Biological system modeling; Hidden Markov models; Loudspeakers; Sequences; Spectrogram; Speech processing; Speech recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Engineering (ICISE), 2009 1st International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-4909-5
Type
conf
DOI
10.1109/ICISE.2009.1342
Filename
5455152
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