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Title: Note Transcription from Carnatic Music
Authors: Suma, S.M.
Koolagudi, S.G.
Ramteke, P.B.
Rao, K.S.
Issue Date: 2020
Citation: Advances in Intelligent Systems and Computing, 2020, Vol.766, , pp.123-129
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.
Appears in Collections:2. Conference Papers

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