【摘要】 提出了一种新的基于小波和时频分解的语音端点检测方法。首先通过小波分解对含噪信号进行增强,然后采用Matching pursuits算法对去噪信号进行时频分解,使得信号在时频平面上具有较明显的魏格纳能量分布,最后利用该特点设定合适的门限来进行语音端点检测。实验结果表明,该方法对低信噪比的语音端点检测仍有效。更多还原

【Abstract】 A new method of speech endpoint detection based on wavelet and decomposition in time-frequency domain is proposed.Signal containing noise is strengthened through wavelet decomposition,then the reconstructed signal is decomposed by Matching pur-suits algorithm in time-frequency domain to obtain apparent Wigner energy distribution.Finally,a suitable threshold is selected to detect the speech endpoint according to these properties.Experimental results demonstrate this approach is effective for low SNR speech endpoint detection.更多还原