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A Novel Algorithm to Robust Speech Endpoint Detection in Noisy Environments

机译:一种新颖的噪声环境中强大语音端点检测的算法

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Accurate endpoint detection is crucial for good speech recognition accuracy. A new algorithm based on C0 complexity measure is proposed in this paper. In the comparison of the new algorithm to the other traditional methods such as energy, ZCR, spectral-entropy etc., for the continuous speech and isolate word speech, the C0 complexity feature proved effective. The proposed algorithm is shown to be well suited for the detection of speech endpoint and is very robust for different types of noise, especially for low SNR
机译:精确的端点检测对于良好的语音识别精度至关重要。本文提出了一种基于C0复杂度测量的新算法。在将新算法的比较到其他传统方法如能量,ZCR,光谱 - 熵等,对于连续语音和隔离字语音,C0复杂性特征被证明是有效的。所提出的算法显示得非常适合检测语音端点,对于不同类型的噪声非常坚固,特别是对于低SNR

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