Title :
Noise estimation based on an adaptive smoothing factor for improving speech quality in a dual-microphone noise suppression system
Author :
Zhang, Xianxian ; Zeng, Hanks ; Lunardhi, Alfonsus
Author_Institution :
MOBCOM Syst. Archit., Broadcom Corp., San Diego, CA, USA
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.
Keywords :
array signal processing; interference suppression; microphones; smoothing methods; speech processing; ANC; SNR; TEO energy ratio; Teager energy operator; VAD detection error; adaptive noise canceller; adaptive smoothing factor; beamformer; dual-microphone front-end processor; dual-microphone noise suppression system; noise estimation; noise power spectrum estimation; single-channel-based noise suppression; speech distortion; speech quality; voice activity detector; Microphones; Noise; Noise measurement; Smoothing methods; Spectral analysis; Speech; Speech enhancement; Teager energy operator; asymmetric crosstalk resistant adaptive noise canceller; beamforming; noise power spectrum; voice activity detector;
Conference_Titel :
Signal Processing and Communication Systems (ICSPCS), 2011 5th International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4577-1179-4
Electronic_ISBN :
978-1-4577-1178-7
DOI :
10.1109/ICSPCS.2011.6140868