Weighted autocorrelation for pitch extraction of noisy speech
Tetsuya Shimamura, Hayato Kobayashi · IEEE Transactions on Speech and Audio Processing · 2001
In this paper, we propose a modified version of the autocorrelation pitch extraction method well known to be robust against noise. Utilizing that the average magnitude difference function (AMDF) has similar characteristics with the autocorrelation function, the autocorrelation function is weighted by the reciprocal of the AMDF. By simulation experiments, it is shown that the proposed pitch extraction method is useful in noisy environments.