1Scholar, Department of Information Technology, SIES Graduate School of Technology, Navi Mumbai, India
2Professor, Department of Information Technology, SIES Graduate School of Technology, Navi Mumbai, India
*Email: shravani.bhosle217@siesgst.ac.in
**aimansaba.ansari217@siesgst.ac.in
***seema.redekar@siesgst.ac.in
****vaishna.shetty217@siesgst.ac.in
Online published on 22 January, 2021.
Overweight and stoutness are significant dangers to numerous well being maladies just as it can cause perpetual mental impact. With the assistance of Body Mass Index prominently otherwise called BMI is utilized to tell whether an individual is having typical weight, overweight or having stoutness. BMI have a few blemishes now and again like overestimates in competitors, belittles in old, and when an individual experiences Oedema. Recently the specialists have been centering after deciding the connection between individual’s voice and their BMI. This paper centers around producing BMI utilizing discourse signal with the assistance of Mel Frequency Cepstral Coefficients (MFCCs) and preparing will be completed on these examples utilizing Multi Layer Perceptron (MLP).
BMI, Speech Signals, Feature Extraction, Classification, Obesity, Multilayer Perceptron, MFCC, Keras
