Audio classification for music information retrieval of Hindustani vocal music

Amit Rege (Medi-Caps University)
Ravi Sindal (Devi Ahilya University)

Indonesian Journal of Electrical Engineering and Computer Science
Vol 24, No 3: December 2021

An important task in music information retrieval of Indian art music is the recognition of the larger musicological frameworks, called ragas, on which the performances are based. Ragas are characterized by prominent musical notes, motifs, general sequences of notes used and embellishments improvised by the performers. In this work we propose a convolutional neural network-based model to work on the mel-spectrograms for classication of steady note regions and note transition regions in vocal melodies which can be used for finding prominent musical notes. It is demonstrated that, good classification accuracy is obtained using the proposed model.