Fuzzy Logic Based Voice Recognition as per Their Gender and Age Group
J. Rajaram
Dr. J. Rajaram, Professor Dept of Computer Science & Engineering, Brilliant Grammar School Educational Society’s Group of Institutions-Hyderabad, Telangana, India.
Manuscript received on 09 August 2019 | Revised Manuscript received on 16 August 2019 | Manuscript Published on 31 August 2019 | PP: 47-51 | Volume-8 Issue-9S2 August 2019 | Retrieval Number: I10090789S219/19©BEIESP DOI: 10.35940/ijitee.I1009.0789S219
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© 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, we classify the voice ac-cording to their age groups. We can recognize the voice by calculating many various parameters such as pitch, power amplitude and THD and many more. There are many approaches through which we 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: Fuzzy Logics