Title :
Correlation based pitch extraction method in speech signal
Author :
Rashidul Hasan, Mirza A. F. M. ; Yasmin, Rubaiyat ; Das, Divya ; Rahman, Md Saifur
Author_Institution :
Dept. of ICE, Univ. of Rajshahi, Rajshahi, Bangladesh
Abstract :
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 pitch 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 male and female voices in white noise 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.
Keywords :
correlation methods; speech processing; white noise; YIN; autocorrelation function; computer simulations; correlation based pitch extraction method; female voices; gross pitch errors; male voices; noisy conditions; signal to noise ratio conditions; speech signal; spurious peaks; time domain; white noise; Correlation; Estimation; Noise measurement; Signal to noise ratio; Speech; Speech processing; autocorrelation function; correlation; pitch extraction; white noise;
Conference_Titel :
Strategic Technology (IFOST), 2014 9th International Forum on
Conference_Location :
Cox´s Bazar
Print_ISBN :
978-1-4799-6060-6
DOI :
10.1109/IFOST.2014.6991090