Achary. Raga mining of Indian music by extracting arohana-avarohana pattern

Content Provider	CiteSeerX
Author	Shetty, Surendra Achary, K. K.
Abstract	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 Arohanaavarohana 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
File Format	PDF
Journal	International Journal of Recent Trends in Engineering
Language	English
Access Restriction	Open
Subject Keyword	Raga Mining Arohana-avarohana Pattern Indian Music Arohanaavarohana Pattern Musical Composition Different Rag Different Ragas Audio File Tonal Context Audio Data 3-5 Song Characteristic Phrase Future Trend Data Mining Historical Pattern Attractive Combination Indian Classical Music Abstract Data Mining
Content Type	Text
Resource Type	Article