Fuzzy Logic Based Voice Recognition as Per Their Gender and Age Group
Shruti Agarwal1, Ashish Agrawal2, Prabhakar Gupta3
1Shruti Agarwal, Department of Computer Science & Engineering, Shri Ram Murti Smarak College of Engeering & Technology, Bareilly, India.
2Ashish Agrawal, Department of Computer Science & Engineering, Shri Ram Murti Smarak College of Engeering & Technology, Bareilly, India.
3Prabhakar Gupta, Department of Computer Science & Engineering, Shri Ram Murti Smarak College of Engeering & Technology, Bareilly, India.
Manuscript received on 05 June 2019 | Revised Manuscript received on 10 June 2019 | Manuscript published on 30 June 2019 | PP: 1902-1905 | Volume-8 Issue-8, June 2019 | Retrieval Number: E3120038519/19©BEIESP
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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: Human voice is the very important field in digital speech processing. In the coming technologies every system will be based on the human voice. The system will be locked and unlocked by human voice. In this research, the researcher classify the voice according to their age groups. The researcher recognize the voice by calculating many various parameters such as pitch, power amplitude and THD and many more. There are many approaches through which the researcher can recognize the gender’s voice such as Hidden Markov Model [HMM], Dynamic Time Warping [DTW] etc. This paper is basically depending on the voice perception system which helps in to differentiate the voice between the gender’s voice and also differentiate the voice depends on age gp to 12yrs children voice with the use of SVM and Gaussian membership function.
Keywords: Voice Recognition System, Fuzzy Logic, Genetic Algorithm, Age Based Voice Classification, Support Vector Machine (SVM), Gaussian Mixture Model (GMM)
Scope of the Article: Classification