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Robust speech dereverberation based on non-negativity and sparse nature of speech spectrograms

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3 Author(s)
Kameoka, H. ; NTT Commun. Sci. Labs., NTT Corp., Atsugi ; Nakatani, T. ; Yoshioka, T.

This paper presents a blind dereverberation method designed to recover the subband envelope of an original speech signal from its reverberant version. The problem is formulated as a blind deconvolution problem with non-negative constraints, regularized by the sparse nature of speech spectrograms. We derive an iterative algorithm for its optimization, which can be seen as a special case of the non-negative matrix factor deconvolution. We confirmed through experiments that the algorithm is fast and robust to speaker movement.

Published in:

Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on

Date of Conference:

19-24 April 2009