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

Volume

9

Issue

8

fYear

2001

fDate

11/1/2001 12:00:00 AM

Firstpage

932

Lastpage

942

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;

fLanguage

English

Journal_Title

Speech and Audio Processing, IEEE Transactions on

Publisher

ieee

ISSN

1063-6676

Type

jour

DOI

10.1109/89.966096

Filename

966096