Automatic Raga Recognition in Hindustani Classical Music
Sanchit Alekh

TL;DR
This paper presents an automatic raga recognition method for Hindustani Classical Music using pitch distributions, achieving high classification accuracy on a test dataset.
Contribution
It introduces a novel technique for automatic raga recognition based on pitch distributions, advancing computational music analysis.
Findings
Successful classification of ragas with high accuracy
Effective use of pitch distribution features
Potential for real-time raga identification
Abstract
Raga is the central melodic concept in Hindustani Classical Music. It has a complex structure, often characterized by pathos. In this paper, we describe a technique for Automatic Raga Recognition, based on pitch distributions. We are able to successfully classify ragas with a commendable accuracy on our test dataset.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMusic and Audio Processing · Neuroscience and Music Perception · Music Technology and Sound Studies
