A Pre-Filtering and Post-Filtering Approach to Blind Source Separation

Authors:
Michele Scarpiniti;Gabriele Bunkheila;Raffaele Parisi;Aurelio Uncini
Affiliations:
Infocom Department, “Sapienza” University of Rome;Infocom Department, “Sapienza” University of Rome;Infocom Department, “Sapienza” University of Rome;Infocom Department, “Sapienza” University of Rome
Venue:
Proceedings of the 2011 conference on Neural Nets WIRN10: Proceedings of the 20th Italian Workshop on Neural Nets
Year:
2011

Citing 7
Cited 0

An information-maximization approach to blind separation and blind deconvolution

Neural Computation
Adaptive filter theory (3rd ed.)

Adaptive filter theory (3rd ed.)
Natural gradient works efficiently in learning

Neural Computation
Discrete-time signal processing (2nd ed.)

Discrete-time signal processing (2nd ed.)
Exploring permutation inconsistency in blind separation of speech signals in a reverberant environment

ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 02
Generalized splitting functions for blind separation of complex signals

Neurocomputing
Stereo acoustical echo cancellation based on common poles

DSP'09 Proceedings of the 16th international conference on Digital Signal Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper a pre-filtering and a post-filtering approach to blind source separation in reverberant environment is presented. The preprocessing consists in the use of common acoustical poles that can simplify the recovering network, giving some a priori information on the environment. In particular the autoregressive part of a transfer function in a closed environment is common for all positions. After pre-filtering conventional BSS algorithm in frequency domain is applied to get estimates of original sources. In addition an adaptive noise canceler is used as post-filter in order to enhance the quality of the separation. Some experimental results demonstrate the effectiveness of the proposed approach.