|
Blind sparse source separation with spatially smoothed time-frequency masking
- Author(s)
-
- Shoko Araki, (NTT Communication Science Laboratories)
- Hiroshi Sawada, (NTT Communication Science Laboratories)
- Ryo Mukai, (NTT Communication Science Laboratories)
- Shoji Makino, (NTT Communication Science Laboratories)
- Topics
-
- Sound enhancement and sound separation
- Microphone arrays and array signal processing
|
Get the paper in PDF format
Acrobat Reader
(version 5 minimum)
is necessary to read this document.
|
Abstract
In this paper, we handle the blind sparse source separation problem with time-frequency masks. Some existing methods employ time-frequency binary masks to extract the signals, and therefore, the extracted signals tend to contain loud musical noise. It causes from the winner-take-all property of the binary mask. To overcome the problem, this paper proposes some non-binary time-frequency masks that allow each time-frequency component to belong to several output signals. Experimental results show that our proposed method can separate signals with little distortion.
|
