Abstract:For the lack of adequate paired noisy-clean speech corpus in many real scenarios, non-parallel training is a promising task for DNNbased speech enhancement methods. However, because of the severe mismatch between input and target speech, many previous studies only focus on magnitude spectrum estimation and remain the phase unaltered, resulting in the degraded speech quality under low signal-to-noise ratio conditions. To tackle this problem, we decouple the difficult target w.r.t. original spectrum optimization… Show more
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