11th Annual Conference of the International Speech Communication Association

Makuhari, Chiba, Japan
September 26-30. 2010

On Using Gaussian Mixture Model for Double-Talk Detection in Acoustic Echo Suppression

Ji-Hyun Song, Kyu-Ho Lee, Yun-Sik Park, Sang-Ick Kang, Joon-Hyuk Chang

Inha University, Korea

In this paper, we propose a novel frequency-domain approach to double-talk detection based on the Gaussian mixture model. In contrast to a previous approach based on a simple and heuristic decision rule utilizing time-domain cross-correlations, GMM is applied to a set of feature vectors extracted from the frequency-domain cross-correlation coefficients. Performance of the proposed approach is evaluated through objective tests under various environments, and better results are obtained as compared to the time-domain method.

Full Paper

Bibliographic reference.  Song, Ji-Hyun / Lee, Kyu-Ho / Park, Yun-Sik / Kang, Sang-Ick / Chang, Joon-Hyuk (2010): "On using Gaussian mixture model for double-talk detection in acoustic echo suppression", In INTERSPEECH-2010, 2778-2781.