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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 11, ISSUE 3, MARCH 2022

Music Recommendations Using Facial Expression

Akansha Bisht, Deepanshu Mishra, Harshit Gupta, Nancy Srivastava, Harris Kumar

DOI: 10.17148/IJARCCE.2022.11362
Abstract— When considering Artificial Intelligent applications in music, most people will think of smart speakers, wearables, and smart home devices used for streaming songs. However, while these advancements are undoubtedly significant, the music industry is embracing Artificial Intelligence based Machine Learning technologies to a much greater degree. In this era, new technologies that integrate emotional intelligence into existing machine learning applications are being studied. Of these technologies, emotional analysis research for providing different music services has received tremendous attention in the last few years. The growth of emotional intelligence technology is going to produce a number of focus areas that will sense emotions; so the proposed project is an Artificial Intelligence based Machine Learning application which will recommend music according to facial expression. Keywords— Emotion Recognition, Facial Recognition, Convolutional Neural Network (CNN)

How to Cite:

[1] Akansha Bisht, Deepanshu Mishra, Harshit Gupta, Nancy Srivastava, Harris Kumar, “Music Recommendations Using Facial Expression,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2022.11362