A statistical model-based double-talk detection incorporating soft decision | IEEE Conference Publication | IEEE Xplore

A statistical model-based double-talk detection incorporating soft decision


Abstract:

In this paper, we propose a novel double-talk detection (DTD) technique based on a soft decision in the frequency domain. The proposed method provides an efficient proced...Show More

Abstract:

In this paper, we propose a novel double-talk detection (DTD) technique based on a soft decision in the frequency domain. The proposed method provides an efficient procedure to detect the double-talk situation by the use of the global near-end speech presence probability (GNSPP) and voice activity detection (VAD) of the near-end and far-end signal. Specifically, the GNSPP is derived based on a statistical method of speech and is employed to determine the double-talk presence in a given frame. The performance of our approach is evaluated by objective tests under different environments, and it is found that the suggested method yields better results compared with the conventional scheme.
Date of Conference: 14-19 March 2010
Date Added to IEEE Xplore: 28 June 2010
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Conference Location: Dallas, TX, USA

References

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