Title :
Nativity based raga identification systems
Author :
Karunakar, K. ; Suresh, G.V. ; Kumar, B. Avinash ; Immanuel, T.
Author_Institution :
CSE Dept., Swarnandhra Inst. of Technol., Narsapur, India
Abstract :
Computational Musicology is a new and emerging field which draws heavily from Computer Science, particularly Data mining (cataloging through data to identify patterns and establish relationships). The relationship among patterns provides information for the ragas. It can be converted into knowledge about historical patterns and future trends. Raga is an attractive combination of notes, engaging tonal context. Western Music has been under the gaze of this community for quite some time. However, Indian music has remained relatively untouched. 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 identifies the language and instruments which will give nativity of music and converts it into sequence of notes, identifies the raga. The system is analyzed for 55 different rags and tested for 20 different ragas. The system performs with a result of 85%.
Keywords :
data mining; music; Indian classical music; audio file; computational musicology; computer science; data mining; engaging tonal context; future trends; historical patterns; nativity based raga identification systems; pattern relationship; western music; Decision support systems; Hybrid intelligent systems; US Department of Defense; Computational Musicology; Data Mining; Indian Classical music; Neural Network; Ragas; scale and note;
Conference_Titel :
Hybrid Intelligent Systems (HIS), 2012 12th International Conference on
Conference_Location :
Pune
Print_ISBN :
978-1-4673-5114-0
DOI :
10.1109/HIS.2012.6421349