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Double-Talk Detection Based on Soft Decision for Acoustic Echo Suppression  

Park, Yun-Sik (인하대학교 전자공학부)
Chang, Joon-Hyuk (인하대학교 전자공학부)
Abstract
In this paper, we propose a novel double-talk detection (DTD) technique based on soft decision in the frequency domain. In the proposed method, global near-end speech presence probability (GNSPP) considering the statistical model assumption and voice activity detection (VAD) decision of the near-end and far-end signal are applied to the DTD algorithm in the frequency domain instead of the traditional hard decision scheme using cross-correlation coefficients. The performance of the proposed algorithm is evaluated by the objective test under various environments, and yields better results compared with the conventional scheme.
Keywords
Acoustic echo suppression; Double-talk detection; Soft decision;
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