Please use this identifier to cite or link to this item:
https://idr.l1.nitk.ac.in/jspui/handle/123456789/8578
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Suma, S.M. | |
dc.contributor.author | Koolagudi, S.G. | |
dc.contributor.author | Ramteke, P.B. | |
dc.contributor.author | Rao, K.S. | |
dc.date.accessioned | 2020-03-30T10:22:26Z | - |
dc.date.available | 2020-03-30T10:22:26Z | - |
dc.date.issued | 2020 | |
dc.identifier.citation | Advances in Intelligent Systems and Computing, 2020, Vol.766, , pp.123-129 | en_US |
dc.identifier.uri | http://idr.nitk.ac.in/jspui/handle/123456789/8578 | - |
dc.description.abstract | In this work, an�effort has been made to identify note sequence of�different ragas of Carnatic Music. The proposed�heuristic method makes use of standard just-intonation�frequency ratios between notes for basic transcription of music piece into written sequence of notes. The notes present in a given piece of music are obtained using pitch histograms. The normalized pitch contour of the music piece is segmented based on detection of the note boundaries. These segments are labeled using note information already available. Without prior knowledge of raga, 30 out of 64 sequences are identified accurately and additional 18 sequences are identified with one note error. With the prior raga knowledge 76.56% accuracy is observed in note sequence identification. � 2020, Springer Nature Singapore Pte Ltd. | en_US |
dc.title | Note Transcription from Carnatic Music | en_US |
dc.type | Book chapter | en_US |
Appears in Collections: | 2. Conference Papers |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.