A. Aljanaki, F. Wiering, and R. C. Veltkamp, Emotion based segmentation of musical audio, Proceedings of the 16th International Society for Music Information Retrieval Conference, pp.770-776, 2015.

D. Bogdanov, N. Wack, E. Gómez, S. Gulati, P. Herrera et al., ESSENTIA, Proceedings of the 21st ACM international conference on Multimedia, MM '13, pp.493-498, 2013.
DOI : 10.1145/2502081.2502229

J. J. Deng and C. H. Leung, Dynamic Time Warping for Music Retrieval Using Time Series Modeling of Musical Emotions, IEEE Transactions on Affective Computing, vol.6, issue.2, pp.137-151, 2015.
DOI : 10.1109/TAFFC.2015.2404352

E. Frank and I. H. Witten, Generating accurate rule sets without global optimization, Proceedings of the Fifteenth International Conference on Machine Learning, pp.144-151, 1998.

J. Grekow, Mood Tracking of Musical Compositions, Proceedings of the 20th International Conference on Foundations of Intelligent Systems. pp. 228?233. IS- MIS'12, 2012.
DOI : 10.1007/978-3-642-34624-8_27

J. Grekow, T. Andreasen, H. Christiansen, and J. C. Cubero, Mood Tracking of Radio Station Broadcasts, Foundations of Intelligent Systems, pp.184-193, 2014.
DOI : 10.1007/978-3-319-08326-1_19

V. Imbrasaite, T. Baltrusaitis, and P. Robinson, Emotion tracking in music using continuous conditional random fields and relative feature representation, 2013 IEEE International Conference on Multimedia and Expo Workshops (ICMEW), pp.1-6, 2013.
DOI : 10.1109/ICMEW.2013.6618357

R. Kohavi and G. H. John, Wrappers for feature subset selection, Artificial Intelligence, vol.97, issue.1-2, pp.273-324, 1997.
DOI : 10.1016/S0004-3702(97)00043-X
URL : https://doi.org/10.1016/s0004-3702(97)00043-x

M. D. Korhonen, D. A. Clausi, and M. E. Jernigan, Modeling emotional content of music using system identification, IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), vol.36, issue.3, pp.588-599, 2005.
DOI : 10.1109/TSMCB.2005.862491
URL : http://www.eng.uwaterloo.ca/~dclausi/Papers/Published 2006/korhonen - emotion in music 2006.pdf

Y. Lin, X. Chen, and D. Yang, Exploration of music emotion recognition based on midi, Proceedings of the 14th International Society for Music Information Retrieval Conference, 2013.

L. Lu, D. Liu, and H. J. Zhang, Automatic mood detection and tracking of music audio signals. Trans. Audio, Speech and Lang, Proc, vol.14, issue.1, pp.5-18, 2006.

C. C. Pratt, Music as the language of emotion. The Library of Congress, Govt. Print. Off, 1950.

J. A. Russell, A circumplex model of affect., Journal of Personality and Social Psychology, vol.39, issue.6, pp.1161-1178, 1980.
DOI : 10.1037/h0077714
URL : https://hal.archives-ouvertes.fr/hal-01086372

E. M. Schmidt and Y. E. Kim, Modeling musical emotion dynamics with conditional random fields, Proceedings of the 2011 International Society for Music Information Retrieval Conference, pp.777-782, 2011.

E. M. Schmidt, D. Turnbull, and Y. E. Kim, Feature selection for content-based, timevarying musical emotion regression, Proceedings of the International Conference on Multimedia Information Retrieval, pp.267-274, 2010.
DOI : 10.1145/1743384.1743431
URL : http://web.cs.swarthmore.edu/~turnbull/Papers/Schmidt_EmotionRegression_MIR10.pdf

G. Tzanetakis and P. Cook, MARSYAS: a framework for audio analysis, Organised Sound, vol.4, issue.3, pp.169-175, 2000.
DOI : 10.1017/S1355771800003071
URL : http://www-2.cs.cmu.edu/~gtzan/work/pubs/organised00gtzan.ps

I. H. Witten and E. Frank, Data mining, ACM SIGMOD Record, vol.31, issue.1, 2005.
DOI : 10.1145/507338.507355

Y. H. Yang, Y. C. Lin, Y. F. Su, and H. H. Chen, A Regression Approach to Music Emotion Recognition, IEEE Transactions on Audio, Speech, and Language Processing, vol.16, issue.2, pp.448-457, 2008.
DOI : 10.1109/TASL.2007.911513
URL : http://mpac.ee.ntu.edu.tw/~yihsuan/pub/TASLP08.pdf