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Application of Block On-Line Blind Source Separation to Acoustic Echo Cancellation  

Ngoc, Duong Q.K. (Department of Electronic Engineering, Paichai University)
Park, Chul (Department of Electronic Engineering, Paichai University)
Nam, Seung-Hyon (Department of Electronic Engineering, Paichai University)
Abstract
Blind speech separation (BSS) is well-known as a powerful technique for speech enhancement in many real world environments. In this paper, we propose a new application of BSS - acoustic echo cancellation (AEC) in a car environment. For this purpose, we develop a block-online BSS algorithm which provides robust separation than a batch version in changing environments with moving speakers. Simulation results using real world recordings show that the block-online BSS algorithm is very robust to speaker movement. When combined with AEC, simulation results using real audio recording in a car confirm the expectation that BSS improves double talk detection and echo suppression.
Keywords
blind source separation; acoustic echo cancellation; double talk detection; echo return loss enhancement;
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