Speech is the principal form of human communication since it began from day one when human beings start to communicate. The rate of vibration produce by the vocal cords is called a fundamental frequency (F0) or pitch period. Consequently, the pitch period estimation is to determinate the fundamental frequency for used in speech signal processing applications. The fundamental frequency range for a person is about 20 to 20 kHz, and the frequency of a sound wave will determine the human tone and pitch. The resultant of spikes in the correlation of voice data is to determine the period and therefore the pitch of the signal. Numerous pitch determination algorithms (PDAs) have been proposed in the literature. In general, they can be categorized into three classes: Time-domain, frequency-domain, and time– frequency domain Algorithms. The pitch tracking techniques using autocorrelation method and AMDF (Average Magnitude Difference Function) method involving the preprocessing and the extraction of pitch pattern
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[Mahesh Manohar Kamble, Prof. (Mrs.) M.R Dixit (2013), Pitch Estimation and Analysis of speech signal, International Journal of Innovative Research in Computer Science & Technology (IJIRCST), Vol-1, Issue-2, Page No-59-61], (ISSN 2347 - 5552). www.ijircst.org
Mahesh Manohar Kamble
Department of Electronics & Telecomm Engineering, K.I.T.’s College of Engineering, Kolhapur, India.