International Journal of Neural Networks ISSN: 2249-2763 & E-ISSN: 2249-2771, Volume 2, Issue 1, 2012, pp.-35-38. Available online at http://www.bioinfopublication.org/jouarchive.php?opt=&jouid=BPJ0000238 A COMPARATIVE STUDY OF CARNATIC AND HINDUSTANI RAGA SYSTEMS BY NEURAL NETWORK APPROACH SRIMANI P.K.1 AND PARIMALA Y.G.2* 1Department of Computer Science and Maths, Bangalore-560 056, Karnataka, India. 2City Engineering College, VTU, Bangalore-560 062, Karnataka, India *Corresponding Author: Email-
[email protected] Received: October 25, 2012; Accepted: November 06, 2012 Abstract- A unique Neural network approach has been used in the present investigations and a comparative study of the raga systems of Carnatic (CCM) and Hindustani classical music (HCM). The paper concerns a detailed study of the melakartha-janya raga system of CCM, Thaat-raaga system of HCM and cognitive studies of the same based on Artificial Neural networks (ANN). For CCM, studies were confined to the 72 melakartha ragas. For HCM 101 ragas were considered. Relative frequencies of notes in the scales were used as inputs. 100% accuracy was obtained for the melakartha system of CCM for several network topologies while highest accuracy was about 80% in case of HCM. Several networks, namely MLP, PCA, GFF, LR, RBF, TLRN were analyzed and consolidate report was generated. Keywords- Carnatic classical music, Hindustani classical music, thaats, melakartha ragas, cognition. Citation: Srimani P.K. and Parimala Y.G. (2012) A Comparative Study of Carnatic and Hindustani Raga Systems by Neural Network Ap- proach. International Journal of Neural Networks, ISSN: 2249-2763 & E-ISSN: 2249-2771, Volume 2, Issue 1, pp.-35-38.