Audio Recognition System Based on Emotion Using Deep Learning and AI

Authors

  • Swetha Balachandran Department of Computer Science and Engineering, CMS College of Engineering and Technology, Coimbatore, India
  • J. Sharika Mohan Department of Computer Science and Engineering, CMS College of Engineering and Technology, Coimbatore, India
  • M. Jeneefer Department of Computer Science and Engineering, CMS College of Engineering and Technology, Coimbatore, India
  • M. Shanmugha Priya Department of Computer Science and Engineering, CMS College of Engineering and Technology, Coimbatore, India

Keywords:

Audios, Camera, Convolution Neural Network, Emotion, playlist Generation

Abstract

Human emotions are designed to help people understand each other and share their feelings and intentions. Emotions are expressed through both verbal and facial expressions. Music has a significant impact on an individual's life. This is an innovative method that assists the user in automatically generating a playlist of music based on the user's mood. A web camera is used in this system to identify the user's mood by looking at their facial expressions. Once the mood is identified, the algorithm offers a playlist for that mood, saving the user a lot of time over manually selecting and enjoying songs. It also includes a basic plan for collecting user information such as playlist creation, emotion classification, and interest level, as well as reorganizing the playlist.

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Published

2021-06-07

How to Cite

[1]
S. Balachandran, J. Sharika Mohan, M. Jeneefer, and M. Shanmugha Priya, “Audio Recognition System Based on Emotion Using Deep Learning and AI”, IJRAMT, vol. 2, no. 6, pp. 25–26, Jun. 2021.

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Articles