Proceedings of Second International Conference on Advances in Computer Engineering and Communication Systems
The CycleGAN deep learning framework has been successfully used for image style transfer in important domains such as medical diagnosis. This paper describes attempts, first of their kind, at using the framework for converting Indian Classical music from one melodic framework, called raga or raag, to another. From the audio samples generated and their visualizations, it is evident that the experiments were reasonably successful in converting music in Hindustani Classical raga to music in Indian Carnatic raga and vice versa. The insights presented in the paper are hoped to inspire further work to revolutionize the use of technology to improvise Indian Classical music.
Applied Data Science
Rohan Surana, Aakash Varshney, and Vishnu S. Pendyala. "Deep Learning for Conversions Between Melodic Frameworks of Indian Classical Music" Proceedings of Second International Conference on Advances in Computer Engineering and Communication Systems (2022). https://doi.org/10.1007/978-981-16-7389-4_1