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How do I stop discord from disabling Voice Activity Detection? 

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We propose a novel Target-Speaker Voice Activity Detection (TS-VAD) approach, which directly predicts an activity of each speaker on each time frame.
Experimental results show enhanced performance compared to competing voice activity detection methods.
This letter presents a new voice activity detector (VAD) for improving speech detection robustness in noisy environments and the performance of speech recognition systems.
The experimental results show that this algorithm can increase the accuracy of voice activity detection in the absence of noise and noise conditions.
This paper shows an improved statistical test for voice activity detection in noise adverse environments.
Proceedings ArticleDOI
01 Jan 2017
21 Citations
The proposed strategy for voice activity detection is robust and works well for a variety of signal to noise ratio levels.
In this paper, by analyzing firstly thoroughly characteristics of cockpit voices, we develop an improved voice activity detection scheme based on iterative spectral subtraction and double thresholds.
Simulation experiments show that the new method is an efficient and robust voice activity detector.
In the evaluation results, we observed that the proposed method significantly outperforms conventional methods as regards voice activity detection accuracy in noisy environments.

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