April 9, 2024, 4:46 a.m. | Rajesh B, Keerthana V, Narayana Darapaneni, Anwesh Reddy P

cs.CV updates on arXiv.org arxiv.org

arXiv:2404.04654v1 Announce Type: new
Abstract: Introduction: Music provides an incredible avenue for individuals to express their thoughts and emotions, while also serving as a delightful mode of entertainment for enthusiasts and music lovers. Objectives: This paper presents a comprehensive approach to enhancing the user experience through the integration of emotion recognition, music recommendation, and explainable AI using GRAD-CAM. Methods: The proposed methodology utilizes a ResNet50 model trained on the Facial Expression Recognition (FER) dataset, consisting of real images of individuals …

abstract arxiv cs.cv cs.ir emotion emotions entertainment experience express integration introduction music paper recognition recommendation thoughts through type

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

C003549 Data Analyst (NS) - MON 13 May

@ EMW, Inc. | Braine-l'Alleud, Wallonia, Belgium

Marketing Decision Scientist

@ Meta | Menlo Park, CA | New York City