References
- 1Allegraud, P., Bigo, L., Feisthauer, L., Giraud, M., Groult, R., Leguy, E., & Levé, F. (2019). Learning sonata form structure on Mozart’s string quartets. Transactions of the International Society for Music Information Retrieval, 2(1), 82–96. DOI: 10.5334/tismir.27
- 2Bartsch, M. A., & Wakefield, G. H. (2005). Audio thumbnailing of popular music using chromabased representations. IEEE Transactions on Multimedia, 7(1), 96–104. DOI: 10.1109/TMM.2004.840597
- 3Bello, J. P., Daudet, L., Abdallah, S., Duxbury, C., Davies, M., & Sandler, M. B. (2005). A tutorial on onset detection in music signals. IEEE Transactions on Speech and Audio Processing, 13(5), 1035–1047. DOI: 10.1109/TSA.2005.851998
- 4Boersma, P., & Weenink, D. (2017). Praat: Doing phonetics by computer [computer program]. Version 6.0.28.
http://www.praat.org/ . Retrieved March 3, 2017. - 5Chen, S., & Gopalakrishnan, P. (1998). Speaker, environment and channel change detection and clustering via the Bayesian information criterion. In Proc. of the DARPA Broadcast News Transcription and Understanding Workshop, volume 8, pages 127–132, Virginia, USA.
- 6Clarke, E. F. (1999).
Rhythm and timing in music . In The Psychology of Music (Second Edition), pages 473–500. Elsevier. DOI: 10.1016/B978-012213564-4/50014-7 - 7Clayton, M. (2001). Time in Indian Music: Rhythm, Metre, and Form in North Indian Rag Performance,
Chapter 11: A case study in rhythmic analysis . Oxford University Press, UK. - 8Cooper, M., & Foote, J. (2003). Summarizing popular music via structural similarity analysis. In Proc. of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, pages 127–130. DOI: 10.1109/ASPAA.2003.1285836
- 9Dannenberg, R. B., & Goto, M. (2008).
Music structure analysis from acoustic signals . In Handbook of Signal Processing in Acoustics, pages 305–331. Springer. DOI: 10.1007/978-0-387-30441-0_21 - 10Dixon, S. (2001). Automatic extraction of tempo and beat from expressive performances. Journal of New Music Research, 30(1), 39–58. DOI: 10.1076/jnmr.30.1.39.7119
- 11Foote, J. (2000). Automatic audio segmentation using a measure of audio novelty. In Proc. of the IEEE International Conference on Multimedia and Expo, volume 1, pages 452–455. DOI: 10.1109/ICME.2000.869637
- 12Foote, J. T., & Cooper, M. L. (2003). Media segmentation using self-similarity decomposition. In Proc. SPIE 5021, Storage and Retrieval for Media Databases 2003, pages 167–176. DOI: 10.1117/12.476302
- 13Grosche, P., Müller, M., & Kurth, F. (2010). Cyclic tempogram: A mid-level tempo representation for music signals. In Proc. of the IEEE International Conference on Acoustics Speech and Signal Processing, pages 5522–5525. DOI: 10.1109/ICASSP.2010.5495219
- 14Gulati, S., & Rao, P. (2010). Rhythm pattern representations for tempo detection in music. In Proc. of the First International Conference on Intelligent Interactive Technologies and Multimedia, pages 241–244. DOI: 10.1145/1963564.1963606
- 15Hermes, D. J. (1990). Vowel-onset detection. Journal of the Acoustical Society of America, 87(2), 866–873. DOI: 10.1121/1.398896
- 16Jensen, K. (2006). Multiple scale music segmentation using rhythm, timbre, and harmony. EURASIP Journal on Advances in Signal Processing, 2007(1), 1–11. DOI: 10.1155/2007/73205
- 17Jensen, K., Xu, J., & Zachariasen, M. (2005). Rhythm-based segmentation of popular Chinese music. In Proc. of the International Conference on Music Information Retrieval, pages 374–380.
- 18Klapuri, A., Virtanen, T., Eronen, A., & Seppänen, J. (2001). Automatic transcription of musical recordings. In Proc. of the Consistent & Reliable Acoustic Cues Workshop. Aalborg, Denmark. DOI: 10.1109/ICCIMA.2007.138
- 19Kumar, P. P., Rao, P., & Roy, S. D. (2007). Note onset detection in natural humming. In Proc. of the IEEE International Conference on Computational Intelligence and Multimedia Applications, volume 4, pages 176–180.
- 20Logan, B. (2000). Mel frequency cepstral coefficients for music modeling. In Proc. of the International Symposium on Music Information Retrieval.
- 21McCallum, M. C. (2019). Unsupervised learning of deep features for music segmentation. In Proc. of the IEEE International Conference on Acoustics, Speech and Signal Processing, pages 346–350. DOI: 10.1109/ICASSP.2019.8683407
- 22McFee, B., Nieto, O., Farbood, M. M., & Bello, J. P. (2017). Evaluating hierarchical structure in music annotations. Frontiers in Psychology, 8, 1337. DOI: 10.3389/fpsyg.2017.01337
- 23Paulus, J., Müller, M., & Klapuri, A. (2010). State of the art report: Audio-based music structure analysis. In Proc. of the International Society for Music Information Retrieval Conference, pages 625–636.
- 24Peeters, G. (2003). Deriving musical structures from signal analysis for music audio summary generation: “Sequence” and “state” approach. In Proc. of the International Symposium on Computer Music Modeling and Retrieval, pages 143–166. DOI: 10.1007/978-3-540-39900-1_14
- 25Peeters, G. (2007). Template-based estimation of timevarying tempo. EURASIP Journal on Applied Signal Processing, 2007(1), 158–171. DOI: 10.1155/2007/67215
- 26Peeters, G., & Deruty, E. (2009). Is music structure annotation multi-dimensional? A proposal for robust local music annotation. In Proc. of 3rd Workshop on Learning the Semantics of Audio Signals, pages 75–90.
- 27Ranganathan, S. (2013). Compositional models and aesthetic experience in dhruvapada. The Music Academy Journal, 84.
- 28Ranjani, H., & Sreenivas, T. (2013). Hierarchical classification of Carnatic music forms. In Proc. of the International Society for Music Information Retrieval Conference.
- 29Serra, X. (2011). A multicultural approach in music information research. In Proc. of the 12th International Society for Music Information Retrieval Conference, pages 151–156.
- 30Smith, J. B. L., Burgoyne, J. A., Fujinaga, I., De Roure, D., & Downie, J. S. (2011). Design and creation of a large-scale database of structural annotations. In Proc. of the International Society for Music Information Retrieval Conference, pages 555––560.
- 31Srinivasamurthy, A., Holzapfel, A., & Serra, X. (2014). In search of automatic rhythm analysis methods for Turkish and Indian art music. Journal of New Music Research, 43(1), 94–114. DOI: 10.1080/09298215.2013.879902
- 32Sundberg, J. (1990). What’s so special about singers? Journal of Voice, 4(2), 107–119. DOI: 10.1016/S0892-1997(05)80135-3
- 33Thoshkahna, B., Müller, M., Kulkarni, V., & Jiang, N. (2015). Novel audio features for capturing tempo salience in music recordings. In Proc. of the IEEE International Conference on Acoustics, Speech and Signal Processing, pages 181–185. DOI: 10.1109/ICASSP.2015.7177956
- 34Tian, M., & Sandler, M. B. (2016). Towards music structural segmentation across genres: Features, structural hypotheses, and annotation principles. ACM Transactions on Intelligent Systems and Technology, 8(2), 23. DOI: 10.1145/2950066
- 35Turnbull, D., Lanckriet, G. R., Pampalk, E., & Goto, M. (2007). A supervised approach for detecting boundaries in music using difference features and boosting. In Proc. of the International Conference on Music Information Retrieval, pages 51–54.
- 36Ullrich, K., Schlüter, J., & Grill, T. (2014). Boundary detection in music structure analysis using convolutional neural networks. In Proc. of the International Society for Music Information Retrieval Conference, pages 417–422.
- 37Verma, P., Vinutha, T. P., Pandit, P., & Rao, P. (2015). Structural segmentation of Hindustani concert audio with posterior features. In Proc. of the IEEE International Conference on Acoustics, Speech and Signal Processing, pages 136–140. DOI: 10.1109/ICASSP.2015.7177947
- 38Vinutha, T. P., Sankagiri, S., Ganguli, K. K., & Rao, P. (2016). Structural segmentation and visualization of sitar and sarod concert audio. In Proc. of the International Society for Music Information Retrieval Conference, pages 232–238.
- 39Wade, B. C. (2001). Music in India: The classical traditions,
Chapter 7: Performance Genres of Hindustani Music . Manohar Publishers. - 40Widdess, R. (1994). Involving the performers in transcription and analysis: A collaborative approach to dhrupad. Ethnomusicology, 38(1), 59–79. DOI: 10.2307/852268
- 41Widdess, R. (2011).
Dynamics of melodic discourse in Indian music: Budhaditya Mukherjee’s ālāp in rāg pūriyā-kalyān . In M. Tenzer & J. Roeder (Eds.), Analytical and Cross-Cultural Studies in World Music, pages 187–224. Oxford University Press. DOI: 10.1093/acprof:oso/9780195384581.003.0005 - 42Widdess, R. (2013).
Schemas and improvisation in Indian music . In R. Kempson, C. Howes & M. Orwin (Eds.), Language, Music and Interaction, pages 197–209. College Publications.
