Signal Processing and Analysis of a Person on the Basis of Time, Age and Gender 
Taiba Khalid1, Bhavana Narain2
1Miss Taiba Khalid*, Research Scholar, Department of MSIT, MATS University, Raipur (C.G), India.
2Dr.Bhawna Narain, Associate Professor, Department of MSIT, MATS University, Raipur (C.G.), India.
Manuscript received on June 01, 2020. | Revised Manuscript received on June 08, 2020. | Manuscript published on June 30, 2020. | PP: 1135-1139 | Volume-9 Issue-5, June 2020. | Retrieval Number: E9990069520/2020©BEIESP | DOI: 10.35940/ijeat.E9990.069520
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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: : Nowadays, signal processing is very common in machine learning. Tools like MATLAB and PRAAT made this really easy. Best example is google search using voice, this can be mostly beneficial for illiterate people and children. I have collected the sample of speech of 160 people of different age group, different genders, and at different and constant time as databases and then these databases are analysed.. Each database consists of samples of human speech uttering the same first 10 alphabets of hindi varnamala .I have used two parameters i.e. formants and intensity for analysing the results of database.I have also characterized it into the form of constant time and variant time. Our aim is to identify the voices of a person on the basis of age and gender through different paremeters like frequency and formants
Keywords: Varnamala, MATLAB, PRAAT.