Raga Recognition in Indian Classical Music Using Deep Learning

摘要

Raga is central to Indian Classical Music in both Carnatic Music as well as Hindustani Music. The benefits of identifying raga from audio are related but not limited to the fields of Music Information Retrieval, content-based filtering, teaching-learning and so on. A deep learning and signal processing based approach is presented in this work in order to recognise the raga from the audio source using raw spectrograms. The proposed preprocessing steps and models achieved 98.98% testing accuracy on a subset of 10 ragas in CompMusic dataset. A thorough study on the effect of various hyperparameters, sound source separation and silent part removal is carried out and is listed with results and findings of the same. A discussion on the predictions and behavior of deep learning models on audio apart from the dataset is also carried out. This new approach yields promising results and gives real time predictions from raw audio or recordings.