Pitch Estimation using Time Domain Algorithm 
Madhukar S. Chavan
Dr. Madhukar S. Chavan, Dept. of Electronics and Telecomm. Engineering, P. V. P. Institute of Technology Budhgaon, Sangli, India.
Manuscript received on 27 August 2019. | Revised Manuscript received on 06 September 2019. | Manuscript published on 30 September 2019. | PP: 1391-1394 | Volume-8 Issue-11, September 2019. | Retrieval Number: J97330881019/2019©BEIESP | DOI: 10.35940/ijitee.J9733.0981119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Speech is classified into voice, unvoiced and silence. The voice speech is the periodic vibration of vocal folds. Background noise affects the speech signals. In many speech applications calculation of pitch plays a major role. The paper proposes a pitch detection algorithm based on the short-time average magnitude difference function (AMDF) and the short-term autocorrelation function (ACF). Detecting the Pitch within the speech signal is important in most of all the speech related applications. Detection of Pitch is useful in identification of speaker. One solution to get detect with the pitch is by using the time domain algorithms. This paper gives idea about estimation and detection of pitch in time domain algorithm for different voice samples.
Keywords: Pitch, Energy of clipped signal, Autocorrelation, Average magnitude difference function.
Scope of the Article: Economics of Energy Harvesting Communications