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Conventional noise suppression methods based on array signal processing use phase information and control the directivity of noises. However, such methods can hardly suppress so-called background noise, whose arrival direction cannot be specified. Thus, multiple far noise suppression based on transfer-function-gain non-negative matrix factorization (NMF) has been proposed as a method that can suppress...
In this paper, we propose a method for suppressing a large number of interferences by using multichannel amplitude analysis based on nonnegative matrix factorization (NMF) and its effective semi-supervised training. For the point-source interference reduction of an asynchronous microphone array, we propose amplitude-based speech enhancement in the time-channel domain, which we call transfer-function-gain...
In this paper, we investigate amplitude-based speech enhancement for asynchronous distributed recording. In an ad-hoc microphone array context, it is supposed that different asynchronous devices record speech. As a result, the phase information is unreliable due to sampling frequency mismatch. For speech enhancement based on the amplitude information instead of the phase information, supervised nonnegative...
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