基于二进小波变换的基音检测算法

Pitch detection algorithm based on dyadic wavelet transforms

为了克服目前诸多基音周期检测算法精度低、计算复杂度高、鲁棒性差的缺点,研究了一种采用二进小波变换模极大值进行基音周期检测的算法。仿真结果表明,该算法在强背景噪声下仍可以准确提取基音周期,并且具有复杂度低、分辨率高和实时性好的特点。

In order to overcome the disadvantages of low accuracy, high complexity, and lack of robustness in many actual pitch detection algorithms, a new algorithm for pitch detection on the basis of local modulus maxima of dyadic wavelet transform was presented. Simulation results indicate that this algorithm possesses better pitch detection precision for the speech signals under strong background noise, low calculation complexity, high resolution, and capability for real time implementation.