Robust Noise Reduction Based on Stochastic Spatial Features
This paper proposes a robust noise reduction method relying on stochastic spatial features. Almost all of noise reduction methods have both strong and weak sides in the real world. In this paper, time evolution of direction of arrival (DOA) and its stochastic reliability are the clues for selecting a suitable approach of noise reduction under time-variant noisy environments, where a DOA is an important spatial feature in beamforming for noise reduction. On the other hand, single channel approaches for noise reduction may be reasonable when DOA estimates are not reliable. Then, either spectral subtraction or beamforming is selected out for achieving robust noise reduction depending on a DOA estimate and its reliability. The proposed method had an advantage in noise reduction compared with a conventional approach.
Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!
This paper costs $33 for non-members and is temporarily free for AES members.