基于小波变换和Teager能量算子浊音段提取

Voiced Regions Detection Based on Wavelet Transform and Teager Energy Operator

对语音信号浊音段的提取在很多应用中都是重要的一个步骤。在小波域上用Teager能量算子(TEO)提取语音信号的浊音段,并对原始语音信号和加有高斯白噪声的不同信噪比的语音信号进行了仿真实验。实验结果表明,该算法能够准确地提取出浊音段,并具有较强的抗噪声能力。

Detection of voiced regions in speech is an important process in many applications. A new algorithm based on wavelet transform and Teager energy operator (TEO) is presented to detect voiced regions. Experiments are performed to evaluate the accuracy and robustness of the proposed algorithm by using the clean speech and speech contaminated with white Gaussian noise. The results show that the proposed algorithm can accurately detect voiced regions and possess the robustness to white Gaussian noise.