Open AccessFuzzy Logic Based Voice Recognition as per Their Gender and Age Group
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.i1009.0789s219
Subject(s) - speech recognition , hidden markov model , dynamic time warping , human voice , computer science , speaker recognition , voice analysis , mel frequency cepstrum , field (mathematics) , perception , artificial intelligence , feature extraction , psychology , mathematics , neuroscience , pure mathematics
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