Correlation Based Fundamental Frequency Extraction Method in Noisy Speech Signal

This paper proposed a correlation based method using the autocorrelation function and the YIN. The autocorrelation function and also YIN is a popular measurement in estimating fundamental frequency in time domain. The performance of these two methods, however, is effected due to the position of dominant harmonics (usually the first formant) and the presence of spurious peaks introduced in noisy conditions. The experimental results of computer simulations on female and male voices in different noises perform that the gross pitch errors are lower in proposed method as compared to other related method in different types of signal to noise ratio conditions.