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International Journal of

Recent Trends in Engineering

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International Journal of Recent Trends in Engineering (IJRTE)

ISSN 1797-9617

Volume 1, Number 1, May 2009

Issue on Computer Science

Page(s): 362-366

Raga Mining of Indian Music by Extracting Arohana-Avarohana Pattern

Surendra Shetty and K.K. Achary

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Abstract

Data mining is cataloging through data to identify patterns and establish relationships. The relationship among patterns provides information. It can be converted into knowledge about historical patterns and future trends. Raga mining is a part of data mining where audio data is considered in specific. Raga is an attractive combination of notes, engaging tonal context. What distinguish each raga are the characteristic phrases (of notes), sequence of notes, and the treatment given to each note in terms of its timing, rendition, prominence or ornamentation. Generating script for a musical composition and identifying raga in Indian Classical music is a tedious and time consuming task. Here, we depict a system which takes an audio file as an input and converts it into sequence of notes, identifies the raga by extracting its Arohana-avarohana pattern. The system is analyzed for 50 different rags and tested for 20 different ragas with 3-5 songs of each raga totally 90 songs. The system performs with a result of 95%.

Index Terms

ANN, Arohana, Avarohana, Indian Classical Music, Pitch, Swara, Raga

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