舞蹈机器人中音乐基音频率的提取

舞蹈机器人能够跟随音乐的旋律和节奏作出不同的舞蹈动作,需要对音乐的特征参数进行实时有效的提取。基音频率是音乐的一个重要特征参数,基音频率提取的质量将直接影响音乐特征的识别效果。提出了一种基于自相关函数法的基音频率检测方法,先利用三电平中心削波法对信号进行削波,然后计算其自相关关系,为有效抑制谐波峰值干扰,再次计算信号的自相关性,进而提取音乐信号的基音频率。实验证明,该方法能够准确、稳定的提取音乐信号的基音频率,提取效果理想。

A new method of fundamental frequency extraction in dancing robot

The robot dances with melody and rhythm of music,so extracting characteristic of music in real time is significant for dancing robots.The fundamental frequency of Musical notes is an important characteristic in music recognition,and the quality of fundamental frequency extracting directly affects the precision of the music features recognition.This paper proposed a method based on autocorrelation technology for fundamental frequency extraction.First,signal was preprocessed by means of three-level central clipping filter.Second,the correlation of signal was estimated by using autocorrelation function.In the end,employing autocorrelation function again aimed at reducing the harmonic peak disturbance.The results show that this method not only satisfies the requirements of extracting in real time,but also improves the accuracy of fundamental frequency extracting.