模式识别与人工智能
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  2013, Vol. 26 Issue (8): 705-710    DOI:
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Space Transformation Based on Signal Subspace in Joint Factor Analysis
LI Jin, GUO Wu, DAI Li-Rong
National Engineering Laboratory for Speech and Language Information Processing, Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei 230027

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Abstract  

Joint factor analysis (JFA) is the mainstream algorithm in the text-independent speaker verification systems due to its clear method of modeling the spaces. However, the inevitable overlaps between the speaker space and the channel space obtained by JFA are caused because of the limitations of the algorithm process. To resolve this problem, the space transformation based on the signal subspace is proposed. Compared with JFA algorithm without the space transformation, an equal error rate (EER) reduction of 9.2% is obtained on the telephone section of the core condition trials of the NIST SRE 2008.

Key wordsSpeaker Verification      Joint Factor Analysis(JFA)      Signal Subspace      Space Transformation     
Received: 25 December 2012     
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LI Jin
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Cite this article:   
LI Jin,GUO Wu,DAI Li-Rong. Space Transformation Based on Signal Subspace in Joint Factor Analysis[J]. , 2013, 26(8): 705-710.
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http://manu46.magtech.com.cn/Jweb_prai/EN/      OR     http://manu46.magtech.com.cn/Jweb_prai/EN/Y2013/V26/I8/705
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