Assessing the tuning of sung indian classical music

Proceedings of the 12th International Society for Music Information Retrieval Conference, ISMIR 2011

Volumn , Issue , 2011, Pages 157-162

  Serrá, Joan ^a   Koduri, Gopala K ^a   Miron, Marius ^a   Serra, Xavier ^a  

^a UNIVERSITAT POMPEU FABRA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

CONTEMPORARY PRACTICES; CONTINUOUS DISTRIBUTION; FUNDAMENTAL FREQUENCIES; INDIAN CLASSICAL MUSIC; QUANTITATIVE APPROACH; STANDARD ALGORITHMS; THEORETICAL VALUES;

GRAPHIC METHODS;

INFORMATION RETRIEVAL;

EID: 84873449697     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (19)

1. E. M. Burns. Intervals, scales and tuning. In D. Deutsch, editor, Psychology of Music, The, chapter 7, pages 215-264. Academic Press, San Diego, USA, 2nd edition, 1999.
2. A. K. Datta, R. Sengupta, N. Dey, D. Nag, and A. Mukerjee. Study of srutis in indian musical scales and relevance of schools in recent times using signal processing techniques. In Proc. of the Int. Symp. on Frontiers of Research on Speech and Music (FRSM), 2003.
3. A. K. Datta, R. Sengupta, N. Dey, D. Nag, and A. Mukerjee. Srutis from objective analysis of the performances of hindustani music using clustering algorithm. In Proc. of the Natl. Symp. on Acoustics (NSA), 2004.
4. A. K. Datta, R. Sengupta, N. Dey, D. Nag, and A. Mukerjee. Evaluation of srutis in hindustani music from recorded performances. In Proc. of the Int. Symp. on Frontiers of Research on Speech and Music (FRSM), 2005.
5. A. De Cheveigne and H. Kawahara. Yin, a fundamental frequency estimator for speech and music. Journal of the Acoustical Society of America, 111(4):1917-1930, 2002.
6. A. C. Gedik and B. Bozkurt. Pitch-frequency histogram-based music information retrieval for turkish music. Signal Processing, 90:1049-1063, 2010.
7. A. Krishnaswamy. Application of pitch tracking to south indian classical music. In Proc. of the IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP), volume 5, pages 557-560, 2003.
8. A. Krishnaswamy. Pitch measurements versus perception of south indian classical music. In Proc. of the Stockholm Music Acoustics Conference (SMAC), pages 627-630, 2003.
9. A. Krishnaswamy. On the twelve basic intervals in south indian classical music. In Proc. of the Conv. of the Audio Engineering Society (AES), page 5903, 2004.
10. D. N. Lawley. On testing a set of correlation coefficients for equality. Annals of Mathematical Statistics, 34:149-151, 1963.
11. M. Lindley. Temperaments. Grove Music Online. Oxford Music Online, 2011. Available online: http://www.oxfordmusiconline.com/subscriber/article/grove/ music/27643.
12. S. R. Mahendra, H. A. Patil, and N. K. Shukla. Pitch estimation of notes in indian classical music. In Proc. of the IEEE Indian Conf., pages 1-4, 2009.
13. D. Moelants, O. Cornelis, and M. Leman. Exploring african tone scales. In Proc. of the Int. Soc. for Music Information Retrieval Conf. (ISMIR), pages 489-494, 2009.
14. N. Ramanathan. Shrutis according to ancient texts. Journal of the Indian Musicological Society, 12(3):31-37, 1981.
15. P. Sambamoorthy. South Indian Music. The Indian Music Publishing House, Chennai, India, 7th edition, 2006.
16. C. Schmidt-Jones. Indian classical music: Tuning and ragas. Connexions, 2011. Available online: http://cnx.org/content/m12459/1.11/.
17. W. A. Sethares. Tuning, Timbre, Spectrum, Scale. Springer, Berlin, Germany, 2004.
18. V. Shankar. Art and Science of Carnatic Music, The. Parampara, Chennai, India, 1999.
19. D. Tidhar, M. Mauch, and S. Dixon. High precision frequency estimation for harpsichord tuning classification. In Proc. of the IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP), pages 61-64, 2010.