An Experimental Evaluation of Wiener Filter Smoothing Techniques Applied to Under-Determined Audio Source Separation

Author:

Vincent Emmanuel

Publisher

Springer Berlin Heidelberg

Reference17 articles.

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2. Araki, S., Makino, S., Sawada, H., Mukai, R.: Reducing musical noise by a fine-shift overlap-add method applied to source separation using a time-frequency mask. In: Proc. 2005 IEEE Int. Conf. on Acoustics, Speech and Signal Processing, pp. III-81–III-84 (2005)

3. Araki, S., Sawada, H., Mukai, R., Makino, S.: Blind sparse source separation with spatially smoothed time-frequency masking. In: Proc. 2006 Int. Workshop on Acoustic Echo and Noise Control (2006)

4. Chen, J., Benesty, J., Huang, Y., Doclo, S.: New insights into the noise reduction Wiener filter. IEEE Transactions on Audio, Speech and Language Processing 14(4), 1218–1234 (2006)

5. Cohen, I.: Speech enhancement using a noncausal a priori SNR estimator. IEEE Signal Processing Letters 11(9), 725–728 (2004)

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