References
[1] Datta, A. K., Solanki, S. S., Sengupta, R., Chakraborty, S., Mahto, K., and Patranabis, A. (2017). Signal Analysis of Hindustani Classical Music, Springer.
[2] Chakraborty, S., Ranganayakulu, R., Chauhan, S., Solanki, S. S., and Mahto, K. (2009). A Statistical Analysis of Raga AhirBhairav. Journal of Music and Meaning, Vol. 8, sec. 4, http://www.musicandmeaning.net/issues/showArticle.php?artID=8.4.
[3] Jairazbhoy, N. A. (1995). The Ragas of North Indian Music: Their Structure & Evolution. Bombay: Popular Praka-shan.
[4] Chakraborty, S., Krishnapryia, K., Loveleen, Chauhan, S., Solanki, S. S., and Mahto, K. (2010). Melody Revisited: Tips from Indian Music Theory. International Journal of Computational Cognition, Vol. 8(3), 26-32.
[5] Chakraborty, S., Mazzola, G., Tewari, S., and Patra, M. (2014). Computational Musicology in Hindustani Music. Springer.
[6] Adiloglu, K., Noll, T., and Obermayer, K. A. (2006). Paradigmatic Approach to Extract the Melodic Structure of a Musical Piece. Journal of New Music Research, Vol. 35(3), 221-236.
[7] Dutta, D. (2006). Sangeet Tattwa, Pratham Khanda (in Bengali), BratiPrakashani, 5th ed.
[8] Singh, S. B., Chakraborty, S., Jha, K. M., Chandra, S., Prakash, S., and Tewari, S. (2016). Music and Medicine: Healing Brain Injury Through Ragas. CBH publications.
[9] S. Tewari and S. Chakraborty. (2020). Modeling a Raga-Based Song and Evaluating its Raga Content: Why it Mat-ters in a Clinical Setting, S. K. Sahana and V. Bhattacharjee (eds.), Advances in Computational Intelligence, Ad-vances in Intelligent Systems and Computing 988, https: //doi.org/10.1007/978-981-13-8222-2_21, pp. 255-264, Springer Nature Singapore Pte Ltd.
[10] Tewari, S. and Chakraborty, S. (2011). A Statistical Analysis of Raga Bhairavi. Acoustic Waves, S. K. Srivastava, Kailash, K. Chaturvedi (Ed.), Shree Publishers and Distributors, New Delhi, pp. 329-336.
[11] Priyadarshini, P. and Chakraborty, S. (2017). Using Statistical Modeling, Rate of Change of Pitch and Inter Onset Interval to Distinguish Between Restful and Restless Ragas. Communications in Mathematics and Statistics, Vo-lume 5(2), pp. 199-212.
[12] Beran, J. and Mazzola, G. (1999). Analyzing musical structure and performance- a statistical approach. Statistical Science, Vol. 14 (1), 47-79.
[13] Pearce, M. T., Wiggins, G. A. (2004). Improved Methods for Statistical Modelling of Monophonic Music. Journal of New Music Research. Vol. 33, Article 4, pp. 367-385.
[14] Wiggins, G. A., Pearce, M. T., and Müllensiefen, D. (2011). Computational Modeling of Music Cognition and Musical Creativity. The Oxford Handbook of Computer Music edited by R. T. Dean, Oxford University Press.