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Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
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IndRaga: An Open Hindustani Classical Music Dataset of Precomputed Audio Features

Authors: Gaikwad, Akshay; Joshi, Rushikesh;

IndRaga: An Open Hindustani Classical Music Dataset of Precomputed Audio Features

Abstract

IndRaga is an open feature dataset derived from 526 Hindustani classical music recordings spanning 76 Ragas and 10 Thaats. It contains precomputed frame-level representations including pYIN and RMVPE fundamental frequency estimates, chroma features, and MFCCs, stored as aligned NumPy dictionaries at 16 kHz / 10 ms resolution. Metadata includes identifiers and URLs pointing to publicly available archival sources used for feature extraction. The release is intended for research in Raga recognition and melodic structure modeling.

Keywords

MIR, Raga

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average