Title :
Acoustic echo cancellation using iterative-maximal-length correlation and double-talk detection
Author :
Jenq, Jang-Chyuan ; Hsieh, Shih-Fu
Author_Institution :
Dept. of Commun. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
fDate :
11/1/2001 12:00:00 AM
Abstract :
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 speech. 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
Keywords :
acoustic correlation; adaptive filters; echo suppression; iterative methods; speech enhancement; AEC filter; DTD method; IMLC algorithm; IMLC-DTD algorithm; acoustic echo cancellation; adaptive echo cancellation; double-talk changes; double-talk detection; echo path changes; far-end speech; iterative-maximal-length correlation; near-end interference; near-end speech; room impulse response; single-talk changes; speech interference; squared coefficients errors; statistical analysis; Acoustic signal detection; Adaptive filters; Echo cancellers; Equations; Finite impulse response filter; Interference; Iterative algorithms; Loudspeakers; Microphones; Speech synthesis;
Journal_Title :
Speech and Audio Processing, IEEE Transactions on
