ROBUST UNDERDETERMINED BLIND AUDIO SOURCE SEPARATION OF SPARSE SIGNALS IN THE TIME-FREQUENCY DOMAIN
Source Separation and Applications
Presented by: Dominique Pastor, Author(s): Si Mohamed Aziz Sbaï, Abdeldjalil Aïssa-El-Bey, Dominique Pastor, Institut Télécom / Télécom Bretagne, France
We address the problem of blind source separation in the underdetermined and instantaneous mixture case. The proposed method is based on an algorithm developed by Aissa-El-Bey and al.. This algorithm requires a good choice of the noise threshold and does not take into account the noise contribution in the inversion process. In order to overcome these drawbacks, this paper presents a robust underdetermined blind source separation approach. Robustness is achieved by estimating the noise standard deviation and using this estimate in the inversion process and the expression of the noise threshold. The good performance of the proposed method is shown by comparison with state-of-the-art methods.
Lecture Information
| Recorded: | 2011-05-26 10:30 - 10:50, Club B |
|---|---|
| Added: | 18. 6. 2011 13:19 |
| Number of views: | 37 |
| Video resolution: | 1024x576 px, 512x288 px |
| Video length: | 0:18:47 |
| Audio track: | MP3 [6.34 MB], 0:18:47 |
Related Lectures
0:19:19
AN EXTENSION OF THE ICA MODEL USING LATENT VARIABLES
Source Separation and Applications
Added: 22. 6. 2011 05:47
0:19:03
ON THE RELATION BETWEEN ICA AND MMSE BASED SOURCE SEPARATION
Source Separation and Applications
Added: 22. 6. 2011 04:45
Comments