Robust F0 estimation in noisy speech signals using shift autocorrelation

We present a novel method for robustly extracting the fundamental frequency (F0) of noisy speech signals. Our method uses the recently proposed shift autocorrelation to locally emphasize harmonically distributed energy in the spectrogram. Subsequently, a trajectory extraction algorithm based on an optimization technique is used to determine local F0 contours of voiced segments. Our evaluation shows that the proposed method is capable of estimating F0 even in the presence of severe noises such as in radio communications.