一个基于谱熵的语音端点检测改进方法
An Improved Speech Endpoint Detection Method Based on Spectral Entropy
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摘要: 本文提出了基于谱熵和谱减法相结合的带噪语音端点检测改进算法以及端点检测的判决准则．仿真实验表明，在语音信号受到强噪声的干扰后（5dB≤SNR≤15dB），所提方法可检测到准确的语音端点．Abstract: In this paper,we propose a new approach based on spectral entropy and spectral subtraction for noisy speech endpoint detection,and discriminative rules with robustness.Simulation experiments show that the accurate speech endpoint can be detected by the proposed method when the detected noisy speech SNR is between 5dB and 15 dB.
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