NDLI: Blind signal separation for speech signals with noise

Content Provider	IEEE Xplore Digital Library
Author	Shuping Lv Cheng Zhang
Copyright Year	2014
Description	Author affiliation: Coll. of Autom., Harbin Eng. Univ., Harbin, China (Shuping Lv; Cheng Zhang)
Abstract	Blind signal separation methods are diverse and almost studied in no noise situations, while the noise exists in practice. In this paper, firstly we designed an FIR filter and applied it to remove the added Gaussian noise in the observed signals. And then we improved the standard natural gradient algorithm (SNG) and named it as an improved natural gradient algorithm (ING). Lastly we used Fast ICA algorithm, the SNG and the ING to separate the mixed signals which were processed by the FIR filter. We contrasted and analogized the signal interference ration (SIR) of results of the three algorithms above. We obtained that it's helpful for separation to filter the observed signals under low signal to noise ration (SNR) circumstance, however under the high SNR circumstance, the filtering operation doesn't improve the separation property.
Starting Page	1850
Ending Page	1855
File Size	669600
Page Count	6
File Format	PDF
ISBN	9781479939787
e-ISBN	9781479939794
DOI	10.1109/ICMA.2014.6885983
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-03
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Signal to noise ratio Signal processing algorithms Finite impulse response filters Algorithm design and analysis Blind source separation Normal noise Blind signal separation Fast ICA Natural gradient algorithm FIR filter
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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