Review of F0 Estimation in the Context of Indian Classical Music Expression Detection

Rege, Amit; Sindal, Ravi

doi:10.1007/978-981-15-2071-6_21

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2022

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Cited by 2 publications

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“…Initial approaches towards this objective used feature-based methods. In particular, the instantaneous pitch frequency F0, is the main feature used for discerning the regions of steady notes and transitions and therefore different approaches towards the estimation of F0 were reviewed in [6] which re-affirmed the usefulness and accuracy of the YIN algorithm for finding out the instantaneous pitch frequency. A lot of work on feature-based music information retrieval (MIR) for different genres of world music has been done and documented.…”

Section: Related Workmentioning

confidence: 99%

Audio classification for music information retrieval of Hindustani vocal music

Rege

Sindal

2021

IJEECS

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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.

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Section: Related Workmentioning

confidence: 99%