A data-driven post-filter design based on spatially and temporally smoothed a priori SNR

A microphone array beamformer combined with a post-filter estimation based on spatial smoothing can deliver good noise attenuation preserving the speech component, however, with disturbing musical tones. On the other hand, the temporal smoothing of the decision-directed (DD) a priori signal-to-noise ratio (SNR) estimation for single-channel noise reduction can suppress musical tones well, however, with speech distortion particularly in speech onset. Based on these facts, we derive a new data-driven multichannel a priori SNR estimation based on both spatial and temporal smoothing for the use in a beamformer post-filter. The new a priori SNR estimation is able to find an optimum compromise between noise attenuation, quality of the speech component, and musical tones suppression.

• Type: Journal
• Year: 2011
• Where: ICASSP
• Authors: Huajun Yu, Tim Fingscheidt
• Keywords: ICASSP 2011, Musical Tones, Priori Snr Estimation, Signal Processing, Temporal Smoothing