NDLI: Low-delay noise estimation based on spectrum ripples and minimum statistics in adverse environments

Content Provider	IEEE Xplore Digital Library
Author	Zhong-Hua Fu Jhing-Fa Wang
Copyright Year	2009
Description	Author affiliation: School of Computer Science, Northwestern Polytechnical University, Xi'an, China (Zhong-Hua Fu) \|\| Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan (Jhing-Fa Wang)
Abstract	This paper proposes a new noise estimation algorithm to reduce the estimation delays under highly non-stationary noise conditions. Since the harmonic ripples appeared in the spectrogram are valuable for human to localize the speech presence, based on the characteristics of these ripples, we propose a novel energy independent feature to detect the changing noise. If noise is present, the noise floors of the traditional minimum statistics (MS) are forced to update to follow the noise change. This scheme can also prevent the false rise of noise floors of MS during long speech presence. The performance of the proposed algorithm is evaluated by qualitative results and overall objective measures. Better performances are achieved compared with other noise estimation algorithms.
Starting Page	1
Ending Page	6
File Size	441478
Page Count	6
File Format	PDF
ISBN	9781424432974
DOI	10.1109/ICDSP.2009.5201172
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-07-05
Publisher Place	Greece
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Working environment noise Statistics Speech enhancement Delay estimation Change detection algorithms Signal to noise ratio Background noise Smoothing methods Noise level Floors speech/non-speech detection Noise estimation non-stationary noise speech enhancement
Content Type	Text
Resource Type	Article

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