NDLI: Investigation of a parametric gain approach to single-channel speech enhancement

Content Provider	IEEE Xplore Digital Library
Author	Gongping Huang Jingdong Chen Benesty, J.
Copyright Year	2015
Description	Author affiliation: INRS-EMT, Univ. of Q, Montreal, QC, Canada (Benesty, J.) \|\| CIAIC & Sch. of Marine Sci. & Technol., Northwestern Polytech. Univ., Xi'an, China (Gongping Huang; Jingdong Chen)
Abstract	This paper investigates a parametric gain approach to single-channel noise reduction in the frequency domain. In comparison with the traditional parametric Wiener gain, the major novelty of this presented approach is that the parametric gain is formulated to estimate the noise by using the mean-squared error (MSE) between the noise and the noise estimate. The enhanced signal is then obtained by subtracting the noise estimate from the noisy observation signal. We show that this new method is more practical to implement and can produce better noise reduction performance as compared to the traditional parametric Wiener filtering techniques if the order of the parametric gain is not equal to 1. If the order is 1, the parametric gain is similar to the traditional Wiener gain. Simulation results are presented to illustrate the properties of this new approach.
Starting Page	206
Ending Page	210
File Size	1044755
Page Count	5
File Format	PDF
ISBN	9781467369978
DOI	10.1109/ICASSP.2015.7177961
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-04-19
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Speech Gain Signal to noise ratio Noise measurement Broadband communication Distortion parametric gain Noise reduction speech enhancement single-channel frequency domain Wiener gain
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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