联合因子分析算法中基于信号子空间的空间变换方法

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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 words： Speaker Verification Joint Factor Analysis(JFA) Signal Subspace Space Transformation

Received: 25 December 2012

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	Articles by authors
	LI Jin
	GUO Wu
	DAI Li-Rong

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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