A New Sparse Blind Source Separation Method for Determined Linear Convolutive Mixtures in Time-Frequency Domain

Author:

Bella Mostafa,Saylani Hicham

Publisher

Springer International Publishing

Reference17 articles.

1. Albouy, B., Deville, Y.: Alternative structures and power spectrum criteria for blind segmentation and separation of convolutive speech mixtures. In: Fourth International Conference on Independent Component Analysis and Blind Source Separation (ICA2003), pp. 361–366, April 2003

2. Alinaghi, A., Jackson, P.J., Liu, Q., Wang, W.: Joint mixing vector and binaural model based stereo source separation. IEEE/ACM Trans. Audio Speech Lang. Process. 22(9), 1434–1448 (2014)

3. Ansa, Y., Araki, S., Makino, S., Nakatani, T., Yamada, T., Nakamura, A., Kitawaki, N.: Cepstral smoothing of separated signals for underdetermined speech separation. In: 2010 IEEE International Symposium on Circuits and Systems (ISCAS), pp. 2506–2509 (2010)

4. Araki, S., Sawada, H., Mukai, R., Makino, S.: Underdetermined blind sparse source separation for arbitrarily arranged multiple sensors. Sig. Process. 87(8), 1833–1847 (2007)

5. Bella, M., Saylani, H.: Réduction des artéfacts au niveau des sources audio séparées par masquage temps fréquence en utilisant le lissage cepstral. In: Colloque International TELECOM 2019 and $$11^{emes}$$ JFMMA, pp. 58–61, June 2019

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