Real Time Speech Driven Facial Emotions With Expression

Sumit Rai; Sahil Raza; Shivam Tripathi; Shubham Singh; Neetu Bansla

Real Time Speech Driven Facial Emotions With Expression

Authors: Sumit Rai, Sahil Raza, Shivam Tripathi, Shubham Singh, Neetu Bansla

Unique Paper ID: 151801
Volume: 8
Issue: 1
PageNo: 762-766

Keywords: facial expression recognition; human emotion detection; naturalistic expression; recognition of emotional facial expressions; convolutional neural network image processing face detection

Abstract:
Because of the heterogeneity present across human faces, recognising a human's facial expression with a computer is a difficult undertaking. This variability encompasses expression, color, position, and orientation.The purpose of this study is to demonstrate how a Convolution Neural Network (CNN) architecture may be utilised to detect facial expressions in real time. The FER 2013 Facial Expression Recognition Challenge dataset was employed in this study, and our neural network was trained to categorise emotion states using it. For the classification of seven different types of emotions using facial expressions, we attained an accuracy of 77.16 percent and a validation accuracy of 57.41 percent in this study.

Download article

email to a friend

Cite This Article

ISSN: 2349-6002
Volume: 8
Issue: 1
PageNo: 762-766

Real Time Speech Driven Facial Emotions With Expression

Available:https://ijirt.org/Article?manuscript=151801

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

Join Our IPN

IJIRT Partner Network

Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.

Join Now