JOURNAL ARTICLE

Acoustic echo cancellation using blind source separation

Abstract

We investigate an acoustic echo cancellation method using a blind source separation technique. In a hands-free mobile system, when the large acoustic noise picked up by the microphone is mixed with the echo, the echo cancellation system shows poor performance. We use a blind source separation algorithm to control the acoustic noise which has to be suppressed. The blind source separation algorithm separates the original echo signal from the observation signal which is mixed with acoustic noise. The separated echo signal is applied to the reference signal of the adaptive filter; this approach gives good performance of the adaptive algorithm for echo cancellation. Computer simulation results show the efficiency of the suggested method.

Keywords:
Echo (communications protocol) Blind signal separation Computer science Microphone Active noise control Noise (video) SIGNAL (programming language) Acoustics Adaptive filter Source separation Filter (signal processing) Speech recognition Loudspeaker Algorithm Physics Artificial intelligence Telecommunications Computer vision

Metrics

4
Cited By
0.83
FWCI (Field Weighted Citation Impact)
5
Refs
0.74
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Blind Source Separation Techniques
Physical Sciences →  Computer Science →  Signal Processing
Advanced Adaptive Filtering Techniques
Physical Sciences →  Engineering →  Computational Mechanics
Speech and Audio Processing
Physical Sciences →  Computer Science →  Signal Processing
© 2026 ScienceGate Book Chapters — All rights reserved.