NDLI: Noise estimation based on an adaptive smoothing factor for improving speech quality in a dual-microphone noise suppression system

Content Provider	IEEE Xplore Digital Library
Author	Xianxian Zhang Zeng, H. Lunardhi, A.
Copyright Year	2011
Description	Author affiliation: MOBCOM System Architecture, Broadcom Corporation, Matawan, NJ USA (Zeng, H.) \|\| MOBCOM System Architecture, Broadcom Corporation, San Diego, CA USA (Xianxian Zhang; Lunardhi, A.)
Abstract	In this paper, we present a noise estimation algorithm using an adaptive smoothing factor based on the Teager energy operator (TEO) energy ratio instead of a voice activity detector (VAD) for a dual-microphone noise suppression system. Conventionally, a dual-microphone noise suppression system consists of two independent systems: a beamformer or adaptive noise canceller (ANC) as a front-end processor and a single-channel-based noise suppression system as a postprocessor. In this paper, we propose to treat the two independent systems as two components of a single system. This can be accomplished by using the knowledge learned from the dual-microphone front-end processor to control the noise power spectrum estimation of the single-channel-based postprocessor. Under severe background noise conditions, this method significantly reduces the speech distortion caused by the single-channel postprocessor. The proposed algorithm is of relatively low complexity, minimizes VAD detection error, and features robustness to both high and low input signal SNRs.
Starting Page	1
Ending Page	5
File Size	391577
Page Count	5
File Format	PDF
ISBN	9781457711794
e-ISBN	9781457711800
e-ISBN	9781457711787
DOI	10.1109/ICSPCS.2011.6140868
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-12-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Smoothing methods Noise voice activity detector Teager energy operator noise power spectrum asymmetric crosstalk resistant adaptive noise canceller Speech enhancement Speech Noise measurement beamforming Spectral analysis Microphones
Content Type	Text
Resource Type	Article

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