Improving AMDF for pitch period detection
Kang Guangyu, Guo Shize · 2009
Pitch period is the important parameters of speech recognition and speech synthesis. Pitch period detection has been focus in the field of audio processing research. Traditional AMDF-based algorithm and its improved version, LV-AMDF-based algorithm easily leads to the double error or half error, and so on in the pitch detection. To solve these problems, AMDF, LV-AMDF function characteristics and shortcomings in pitch detection are analyzed, the parameters compensation AMDF pitch detection algorithm is proposed in this article to reduce semi-frequency, double-frequency errors often appear in the pitch detection and improve the detection accuracy. Experimental results show that its pitch detection accuracy is better than AMDF and LV-AMDF.