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首页> 外文会议>2016 IEEE International Workshop on Acoustic Signal Enhancement >Voice activity detection based on statistical likelihood ratio with adaptive thresholding
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Voice activity detection based on statistical likelihood ratio with adaptive thresholding

机译：基于统计似然比和自适应阈值的语音活动检测

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摘要

Statistical likelihood ratio test is a widely used voice activity detection (VAD) method, in which the likelihood ratio of the current temporal frame is compared with a threshold. A fixed threshold is always used, but this is not suitable for various types of noise. In this paper, an adaptive threshold is proposed as a function of the local statistics of the likelihood ratio. This threshold represents the upper bound of the likelihood ratio for the non-speech frames, whereas it remains generally lower than the likelihood ratio for the speech frames. As a result, a high non-speech hit rate can be achieved, while maintaining speech hit rate as large as possible.
机译：统计似然比测试是一种广泛使用的语音活动检测（VAD）方法，其中将当前时间帧的似然比与阈值进行比较。始终使用固定阈值，但这不适用于各种类型的噪声。在本文中，根据似然比的局部统计量提出了自适应阈值。该阈值表示非语音帧的似然比的上限，而通常仍低于语音帧的似然比。结果，可以实现高的非语音命中率，同时保持语音命中率尽可能大。

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