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We propose a second-order-statistics-based approach to online multichannel noise tracking and reduction. We combine the multichannel speech presence probability (MC-SPP) that we proposed in with an alternative formulation of the minima-controlled recursive averaging (MCRA) technique that we generalize from the single- to the multichannel case. Then, we demonstrate the effectiveness of the proposed...
We investigate a general framework for noise reduction which consists in controlling the level of signal distortion while reducing the level of noise. A parameterized non-causal filter that allows for tuning the signal distortion and noise reduction inversely is obtained and is referred to as parameterized multichannel non-causal Wiener filter (PMWF) herein. The same optimization problem leads to...
Noise reduction for speech enhancement is a useful technique, but in general it is a challenging problem. While a single-channel algorithm is easy to use in practice, it inevitably introduces speech distortion to the desired speech signal while reducing noise. Today, the explosive growth in computational power and the continuous drop in the cost and size of acoustic electric transducers are driving...
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