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Frequency-Domain Double-Talk Detection Based on the Gaussian Mixture Model

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5 Author(s)
Kyu-Ho Lee ; School of Electronic Engineering, Inha University, Incheon, Korea ; Joon-Hyuk Chang ; Nam Soo Kim ; Sangki Kang
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In this letter, we propose a novel frequency-domain approach to double-talk detection (DTD) based on the Gaussian mixture model (GMM). 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.

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IEEE Signal Processing Letters  (Volume:17 ,  Issue: 5 )