Emotion-Based Music Generation Based on Nava Rasas in Indian Classical Music

Author:

Churi Praharsh

Abstract

Abstract: A crucial component of human expression, music has the astonishing power to provoke a wide range of emotions. In this study, we describe a revolutionary method for creating music that integrates Indian classical music, computer vision, and emotion analysis. In our project, named "Emotion-Based Music Generation," we use Media Pipe for facial expression recognition, Keras for music creation, OpenCV for real-time webcam access, and stream lit-WebRTC for web application development. Based on the Nava Rasas in Indian classical music, the technique isolates nine fundamental emotions and develops musical compositions in accordance. These technologies are used to create an enjoyable and interactive system that allows users to explore the emotional spectrum of music.

Publisher

International Journal for Research in Applied Science and Engineering Technology (IJRASET)

Subject

General Earth and Planetary Sciences,General Environmental Science

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. MemoMusic 4.0: Personalized Emotion Music Generation Conditioned by Valence and Arousal as Virtual Tokens;2024 IEEE International Conference on Multimedia and Expo Workshops (ICMEW);2024-07-15

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