標題: Acoustic echo cancellation using iterative-maximal-length correlation and double-talk detection
作者: Jenq, JC
Hsieh, SF
電信工程研究所
Institute of Communications Engineering
關鍵字: acoustic echo cancellation;adaptive filters;double talk detection;echo suppression;maximal length sequence
公開日期: 1-十一月-2001
摘要: The conventional maximal-length-correlation (MLC) algorithm to estimate room impulse response for adaptive echo cancellation (AEC) is disturbed by both far-end and near-end speeches. In this paper, a new iterative-maximal-length-correlation (IMLC) algorithm is proposed to reduce the far-end speech interference. To avoid the near-end interference, a new double-talk detection (DTD) method is proposed by tracking the squared coefficients errors of the AEC filter. This DTD method has well-separated detection margins among single-talk (ST), double-talk (DT), and echo path changes. Statistical analysis and computer simulations confirm that our proposed IMLC-DTD algorithm outperforms conventional methods.
URI: http://dx.doi.org/10.1109/89.966096
http://hdl.handle.net/11536/29257
ISSN: 1063-6676
DOI: 10.1109/89.966096
期刊: IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING
Volume: 9
Issue: 8
起始頁: 932
結束頁: 942
顯示於類別:期刊論文


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