Comparing Hindustani Music Raga Prediction Systems using DL and ML Models
Umair Farooq, K.Kumar Snehith Reddy, K.S Shishira, M.G Jayanthi, Prashanth Kannadaguli · 2024
This project aims to employ DL and ML techniques to predict ragas in Indian classical music accurately. The focus is on developing a system that can process audio recordings and make precise raga predictions. The classification task utilizes CNN and RNN networks, to enhance performance. Extensive evaluation using diverse recordings is conducted, comparing the framework against traditional methods. The outcomes of this project has potential applications for music analysis, archiving, recommendation systems, and education in Indian classical music. The developed raga prediction framework can serve as a valuable tool for automatic raga identification. Additionally, it contributes to the field of music information retrieval by showcasing the capabilities of DL/ML techniques in tackling musical tasks.