Intonation Analysis of Rāgas in Carnatic Music

References

• Akkermans, V., Serr{\‘a}, J., & Herrera, P. (2009). Shape-based spectral contrast descriptor. In Proceedings of the In Sound and Music Computing Conference(pp. 23–25), Porto, Portugal.
   Google Scholar
• Belle, S., Joshi, R., & Rao, P. (2009). Raga identification by using swara intonation. Journal of ITC Sangeet Research Academy, 23.
   Google Scholar
• Bozkurt, B., Yarman, O., Karaosmanoğlu, M.K., & Akkoc, C. (2009). Weighing diverse theoretical models on Turkish maqam music against pitch measurements: A comparison of peaks automatically derived from frequency histograms with proposed scale tones. Journal of New Music Research, 38(1), 45–70.
   Web of Science ®Google Scholar
• Cannam, C., Landone, C., & Sandler, M. (2010). Sonic Visualiser: An open source application for viewing, analysing, and annotating music audio files. In.Proceedings of the ACM Multimedia 2010 International Conference, Firenze, Italy (pp. 1467–1468). New York: ACM.
   Google Scholar
• de Cheveigné, A., & Kawahara, H. (2002). YIN, a fundamental frequency estimator for speech and music. The Journal of the Acoustical Society of America, 111(4), 1917–1930.
   PubMed Web of Science ®Google Scholar
• Gedik, A., & Bozkurt, B. (2010). Pitch-frequency histogram-based music information retrieval for Turkish music. Signal Processing, 90(4), 1049–1063.
   Web of Science ®Google Scholar
• Gulati, S. (2012). A Tonic Identification Approach for Indian Art Music (Masters’ thesis). Universitat Pompeu Fabra. Barcelona: Spain.
   Google Scholar
• Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., & Witten, I.H. (2009). The WEKA data mining software: An update. SIGKDD Explorations Newsletter, 11(1), 10–18.
   Google Scholar
• Jiang, D.-N., Lu, L., Zhang, H.-J., Tao, J.-H. & Cai, L.-H. (2002). Music type classification by spectral contrast feature. In IEEE International Conference on Multimedia and Expo (pp. 113–116). Piscataway, NJ: IEEE.
   Google Scholar
• Kim, H., Moreau, N., & Sikora, T. (2006). MPEG-7 audio and beyond: Audio content indexing and retrieval. New York: John Wiley & Sons.
   Google Scholar
• Koduri, G.K., Gulati, S., Rao, P., & Serra, X. (2012). Rāga recognition based on pitch distribution methods. Journal of New Music Research, 41(4), 337–350.
   Web of Science ®Google Scholar
• Krishna, T.M., & Ishwar, V. (2012). Karnatik, music: svara, gamaka, phraseology and r{\=a}ga identity. In Proceedings of the 2nd CompMusic Workshop, Istanbul, Turkey, (pp. 12–18).
   Google Scholar
• Krishnaswamy, A. (2003). On the twelve basic intervals in South Indian classical music. In Proceedings of the 115th Audio Engineering Society Convention, New York, 5903.
   Google Scholar
• Krishnaswamy, A. (2004). Inflexions and microtonality in South Indian classical music. In Proceedings of Frontiers of Research on Speech and Music, Chidambaram, India.
   Google Scholar
• Levy, M. (1982). Intonation in North Indian music. New Delhi: Biblia Implex Pvt. Ltd.
   Google Scholar
• Narmada, M. (2001). Indian music and sancharas in raagas. Delhi: Somnath Dhall, Sanjay Prakashan.
   Google Scholar
• Palshikar, G. (2009). Simple algorithms for peak detection in time-series. In International Conference on Advanced DataAnalysis, Business Analytics and Intelligence (pp. 1–13). Ahmedabad.
   Google Scholar
• Raman, C.V. (1934). The Indian musical drums. Journal of Mathematical Sciences, 1(3), 179–188.
   Google Scholar
• Rao, T.K.G. (2006). Varnasāgara{\.{m}}. Chennai: Ganamandir Publications.
   Google Scholar
• Salamon, J., & G\’{o}mez, E. (2012). Melody extraction from polyphonic music signals using pitch contour characteristics. IEEE Transactions on Audio, Speech, and Language Processing, 20(6), 1759–1770.
   Web of Science ®Google Scholar
• Serr{\‘a}, J., Koduri, G.K., Miron, M., & Serra, X. (2011). Assessing the tuning of sung indian classical music. In Proceedings of the International Society for Music Information Retrieval, Miami, FL, USA, (pp. 263–268).
   Google Scholar
• Serra, X. (2012). Data gathering for a culture specific approach in MIR. In Proceedings of the Workshop on Advances in Music Information Research, World Wide Conference, Lyon, France, (pp. 867–868).
   Google Scholar
• Shankar, V. (1983). The art and science of Carnatic music. Chennai: Music Academy Madras.
   Google Scholar
• Slaney, M. (1998). Auditory toolbox (Technical Report \#1998-010). Palo Alto, CA: Interval Research Corporation.
   Google Scholar
• Subramanian, M. (2007). Carnatic ragam thodi - Pitch analysis of notes and gamakams. Journal of the Sangeet Natak Akademi, XLI(1), 3–28.
   Google Scholar
• Swathi, D. (2009). Analysis of Carnatic music: A signal processing perspective (Masters’ thesis). IIT Madras, India.
   Google Scholar
• Tzanetakis, G., & Cook, P. (2002). Musical genre classification of audio signals. IEEE Transactions on Audio, Speech and Language Processing, 10(5), 293–302.
   Web of Science ®Google Scholar
• Vedavalli, R. (2013a). Varnam - the mother of manodharma sangeetam (Part I). Sruti, (340, January), Chennai, 61–63.
   Google Scholar
• Vedavalli, R. (2013b). Varnam - the mother of manodharma sangeetam (Part II). Sruti, (341, February), Chennai, 59–62.
   Google Scholar
• Viswanathan, T., & Allen, M.H. (2004). Music in South India. Oxford: Oxford University Press.
   Google Scholar
• Witten, I., & Frank, E. (2005). Data mining: Practical machine learning tools and techniques. Amsterdam, London: Morgan Kaufman.
   Google Scholar