Modulation domain blind speech separation in noisy environments

Author:

Zhang Yi,Zhao Yunxin

Publisher

Elsevier BV

Subject

Computer Science Applications,Computer Vision and Pattern Recognition,Linguistics and Language,Language and Linguistics,Communication,Modelling and Simulation,Software

Reference60 articles.

1. A real-time blind source separation scheme and its application to reverberant and noisy acoustic environments;Aichner;Signal Process.,2006

2. Amari, S., Douglas, S.C., Cichocki, A., Yang, H.H., 1997. Multichannel blind deconvolution and equalization using the natural gradient. In: Proc. IEEE Workshop Signal Process Advances Wireless Communications, pp. 101–104.

3. Equivalence between frequency domain blind source separation and frequency domain adaptive beamforming for convolutive mixtures;Araki;EURASIP J. Appl. Signal Process.,2003

4. Araki, S., Makino, S., Aichner, R., 2003. Nishikawa, T., Saruwatari, H., Subband based blind source separation for convolutive mixtures of speech, In: ICASSP, pp. 509–512.

5. Araki, S., Sawada, H., Mukai, R., Makino, S., 2006. DOA estimation for multiple sparse sources with normalized observation vector clustering. In: Proc. ICASSP, vol. 5, pp. 33–35.

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