An Improved Method for Pitch Detection
Jin Li, Kun Shen · Advanced materials research · 2014
Aiming at traditional methods cannot get good performance in noisy environments, an improved method for pitch detection was proposed. In this method, noisy speech was enhanced by using wiener filtering at first, and then analyzing linear prediction residual and power spectrum reprocessing, the feature of weighted residual power spectrum reprocessing was extracted to detect speech pitch period. Experimental results indicate that the proposed pitch detection method has higher reliability with lower computational complexity. It can detect pitch more accurately in low SNR environments and has better robustness.