JOURNAL ARTICLE

Joint Online Multichannel Acoustic Echo Cancellation, Speech Dereverberation and Source Separation

Abstract

This paper presents a joint source separation algorithm that simultaneously reduces acoustic echo, reverberation and interfering sources.Target speeches are separated from the mixture by maximizing independence with respect to the other sources.It is shown that the separation process can be decomposed into cascading sub-processes that separately relate to acoustic echo cancellation, speech dereverberation and source separation, all of which are solved using the auxiliary function based independent component/vector analysis techniques, and their solving orders are exchangeable.The cascaded solution not only leads to lower computational complexity but also better separation performance than the vanilla joint algorithm.

Keywords:
Source separation Reverberation Echo (communications protocol) Blind signal separation Independent component analysis Computer science Joint (building) Separation (statistics) Speech recognition Independence (probability theory) Separation method Process (computing) Acoustics Speech enhancement Algorithm Artificial intelligence Mathematics Telecommunications Physics Noise reduction Engineering Machine learning

Metrics

1
Cited By
0.00
FWCI (Field Weighted Citation Impact)
24
Refs
0.11
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Speech and Audio Processing
Physical Sciences →  Computer Science →  Signal Processing
Blind Source Separation Techniques
Physical Sciences →  Computer Science →  Signal Processing
Advanced Adaptive Filtering Techniques
Physical Sciences →  Engineering →  Computational Mechanics
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