A similarity-based high resolution pitch detection algorithm
Heming Zhao · Shengxue jishu · 2008
A pitch detection algorithm of high resolution and robust anti-noise is proposed in this paper. Firstly, the linear predictive residual is used as the approximate of original speech signal and is transformed by FFT. Secondly pitch is calculated based on the magnitude spectrum of residual and a window, the length of which could be adjusted, is designed. Finally the more exact pitch is obtained by similarity calculation of two successive speech signal segments chosen by the window in each frame signal. This algorithm is of high resolution and effective in low SNR environment.