一种新的基于倒谱的共振峰频率检测算法

共振峰频率是语音信号的一个重要参数。传统的基于线性预测的共振峰检测算法由于受到计算量的限制,很难实现实时处理。本文提出一种基于倒谱变换的共振峰频率检测算法,采用后置处理,比较声道冲击响应对数幅频特性的二次导数和相频特性一次导数检测出的结果,删除伪峰数值和甄别合并共振峰,提高检测精度。仿真结果证明,该算法计算效率高,低信噪比下仍能保持较好的检测性能。

A new formant detection algorithm based on cepstrum

Formant is one of important parameters for speech signal.Due to huge computational load,the traditional speech formant detected by linear prediction coding can not be used for real-time implementation.In this paper,a new formant detection algorithm based on cepstrum transform is presented,which compares the second derivative of the logarithmic amplitude-frequency characteristics with the first ones of the phase-frequency characteristics, deleting the false formants,and discriminating the merging of the formants.The simulations show that the proposed algorithm is of high efficiency,and can still keep good performances under low signal-to-noise ratio conditions.