摘要
提出了一种改进的ACF基音检测算法。检测前在小波域上用Teager能量算子对语音信号进行清浊音判决,在基音检测过程的前端和末端加入了有效的预处理和后处理技术。实验结果表明,该算法比传统的自相关算法具有更高的准确性,在低信噪比下,基音周期提取和清浊判决具有令人满意的效果。
This paper proposes a robust pitch detection algorithm based on the conventional autocorrelation function. An algorithm for voiced/unvoiced classification based on wavelet transform and Teager energy operator is proposed firstly, the efficient pre-processing and post-processing technologies are introduced before and after the pitch detection processes. Experiments show that the pitch detection results of the improved algorithm is superior to that of the conventional ACF, the performance is very satisfactory for pitch extraction and unvoiced/voiced decision under low SNR.
出处
《电子科技》
2007年第2期25-28,共4页
Electronic Science and Technology
