Publication Date
2-22-2022
Document Type
Conference Proceeding
Publication Title
Proceedings of Second International Conference on Advances in Computer Engineering and Communication Systems
DOI
10.1007/978-981-16-7389-4_1
Abstract
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.
Department
Applied Data Science
Recommended Citation
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
Comments
This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/978-981-16-7389-4_1