Blind Dereverberation of Single-Channel Speech Signals Using an ICA-Based Generative Model

نویسندگان

  • Jong-Hwan Lee
  • Sang-Hoon Oh
  • Soo-Young Lee
چکیده

In this paper, an adaptive blind dereverberation method based on speech generative model is presented. Our ICA-based speech generative model can decompose speeches into independent sources. Experimental results show that the proposed blind dereverberation model successfully performs even in non-minimum phase channels.

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تاریخ انتشار 2004