A new method of fundamental frequency extraction in dancing robot
Qin Wenjian · Electronic Design Engineering · 2011
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.