Weighted autocorrelation for pitch extraction of noisy speech
T Shimamura, H Kobayashi - IEEE transactions on speech and …, 2001 - ieeexplore.ieee.org
T Shimamura, H Kobayashi
IEEE transactions on speech and audio processing, 2001•ieeexplore.ieee.orgIn 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.
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.
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.
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