The analysis of the simplification from the ideal ratio to binary mask in signal-to-noise ratio sense

	The analysis of the simplification from the ideal ratio to binary mask in signal-to-noise ratio sense
	Liang, Shan; Liu, WenJu; Jiang, Wei; Xue, Wei
发表期刊	SPEECH COMMUNICATION
	2014-04-01
卷号	59 页码:22-30
文章类型	Article
摘要	For speech separation systems, the ideal binary mask (IBM) can be viewed as a simplified goal of the ideal ratio mask (IRM) which is derived from Wiener filter. The available research usually verify the rationality of this simplification from the aspect of speech intelligibility. However, the difference between the two masks has not been addressed rigorously in the signal-to-noise ratio (SNR) sense. In this paper, we analytically investigate the difference between the two ideal masks under the assumption of the approximate W-Disjoint Orthogonality (AWDO) which almost holds under many kinds of interference due to the sparse nature of speech. From the analysis, one theoretical upper bound of the difference is obtained under the AWDO assumption. Some other interesting discoveries include a new ratio mask which achieves higher SNR gains than the IRM and the essential relation between the AWDO degree and the SNR gain of the IRM. (C) 2013 Elsevier B.V. All rights reserved.
关键词	Ideal Binary Mask Ideal Ratio Mask W-disjoint Orthogonality
WOS标题词	Science & Technology ; Social Sciences ; Technology
关键词[WOS]	AUTOMATIC SPEECH RECOGNITION ; SEGREGATION ; SEPARATION ; INTELLIGIBILITY ; ALGORITHM
收录类别	SCI
语种	英语
WOS研究方向	Acoustics ; Communication ; Computer Science ; Linguistics
WOS类目	Acoustics ; Communication ; Computer Science, Interdisciplinary Applications ; Language & Linguistics
WOS记录号	WOS:000333496300003
引用统计	被引频次：5[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/3000
专题	多模态人工智能系统全国重点实验室_机器人视觉
作者单位	Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit NLPR, Beijing, Peoples R China
第一作者单位	模式识别国家重点实验室
推荐引用方式 GB/T 7714	Liang, Shan,Liu, WenJu,Jiang, Wei,et al. The analysis of the simplification from the ideal ratio to binary mask in signal-to-noise ratio sense[J]. SPEECH COMMUNICATION,2014,59:22-30.
APA	Liang, Shan,Liu, WenJu,Jiang, Wei,&Xue, Wei.(2014).The analysis of the simplification from the ideal ratio to binary mask in signal-to-noise ratio sense.SPEECH COMMUNICATION,59,22-30.
MLA	Liang, Shan,et al."The analysis of the simplification from the ideal ratio to binary mask in signal-to-noise ratio sense".SPEECH COMMUNICATION 59(2014):22-30.

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