J. Abeßer, K. Frieler, M. Pfleiderer, and W. Zaddach, Introducing the jazzomat project -jazz solo analysis using music information retrival methods, Proceedings of the International Symposium on Computer Music Multidisciplinary Research, pp.653-661, 2013.

C. Allauzen, M. Crochemore, and M. Raffinot, Factor oracle : A new structure for pattern matching. SOFSEM'99, Theory and Practice of Informatics, pp.291-306, 1999.
URL : https://hal.archives-ouvertes.fr/hal-00619846

G. Assayag and G. Bloch, Navigating the oracle : A heuristic approach, Proceedings of the International Computer Music Conference, pp.405-412, 2007.
URL : https://hal.archives-ouvertes.fr/hal-01161388

G. Assayag, G. Bloch, and M. Chemillier, OMax-OFon, Proceedings of the Sound and Music Computing Conference, 2006.
URL : https://hal.archives-ouvertes.fr/hal-01161346

G. Assayag and S. Dubnov, Using Factor Oracles for Machine Improvisation, Soft Computing, vol.8, issue.9, pp.604-610, 2004.
DOI : 10.1007/s00500-004-0385-4

URL : https://hal.archives-ouvertes.fr/hal-01161221

G. Bickerman, S. Bosley, P. Swire, and R. M. Keller, Learning to create jazz melodies using deep belief nets, Proceedings of the International Conference on Computational Creativity, pp.228-236, 2010.

F. Bimbot, G. Sargent, E. Deruty, C. Guichaoua, and E. Vincent, Semiotic description of music structure : An introduction to the Quaero/Metiss structural annotations, Proceedings of the AES 53rd International Conference on Semantic, pp.32-43, 2014.
URL : https://hal.archives-ouvertes.fr/hal-00931859

L. Bonasse-gahot, An update on the SoMax project, 2014.

F. Stanley, J. Chen, and . Goodman, An empirical study of smoothing techniques for language modeling, 1998.

A. De, C. , and H. Kawahara, YIN, a fundamental frequency estimator for speech and music, The Journal of the Acoustical Society of America, vol.111, issue.4, pp.1917-1930, 2002.
URL : https://hal.archives-ouvertes.fr/hal-01106271

D. Conklin, Music generation from statistical models, Proceedings of the AISB Symp. on Artificial Intelligence and Creativity in the Arts and Sciences, pp.30-35, 2003.

A. Donze, S. Libkind, S. A. Seshia, and D. Wessel, Control improvisation with application to music, 2013.

S. Fukayama, K. Nakatsuma, S. Sako, T. Nishimoto, and S. Sagayama, Automatic song composition from the lyrics exploiting prosody of Japanese language, Proceedings of the 7th Sound and Music Computing Conference, pp.299-302, 2010.

F. Jelinek and R. L. Mercer, Interpolated estimation of Markov source parameters from sparse data, Pattern Recognition in Practice, pp.381-397, 1980.

D. Klakow, Log-linear interpolation of language models, Proceedings of the 5th International Conference on Spoken Language Processing, pp.1695-1698, 1998.

A. Lefebvre and T. Lecroq, Computing repeated factors with a factor oracle, Proceedings of the 11th Australasian Workshop On Combinatorial Algorithms, pp.145-158, 2000.

M. Levine, The Jazz Theory Book, 1995.

B. Lévy, Visualising OMax. Master's thesis, IRCAM, 2009.

B. Lévy, G. Bloch, and G. Assayag, OMaxist dialectics : Capturing, visualizing and expanding improvisations, Proceedings of the International Conference on New Interfaces for Musical Expression, pp.137-140, 2012.

F. Maniatakos, G. Assayag, F. Bevilacqua, and C. Agon, On architecture and formalisms for computer-assisted improvisation, Proceedings of the Sound and Music Computing Conference, 2010.
URL : https://hal.archives-ouvertes.fr/hal-01157074

J. Moreira, P. Roy, and F. Pachet, Virtualband : Interacting with stylistically consistent agents, Proceedings of the International Society for Music Information Retrieval, pp.341-346, 2013.

J. Nika and M. Chemillier, Improtek, integrating harmonic controls into improvisation in the filiation of OMax, Proceedings of the International Computer Music Conference, pp.180-187, 2012.
URL : https://hal.archives-ouvertes.fr/hal-01059330

J. Nika, J. Echeveste, M. Chemillier, and J. Giavitto, Planning human-computer improvisation, Proceedings of the International Computer Music Conference, pp.330-338, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01053834

F. Pachet, The Continuator: Musical Interaction With Style, Proceedings of the International Computer Music Conference, pp.211-218, 2002.
DOI : 10.1076/jnmr.32.3.333.16861

F. Pachet and P. Roy, Markov constraints: steerable generation of Markov sequences, Constraints, vol.37, issue.4, pp.148-172, 2011.
DOI : 10.1007/s10601-010-9101-4

A. Stanis?aw, S. Raczynski, E. Fukayama, and . Vincent, Melody harmonisation with interpolated probabilistic models, Journal of New Music Research, vol.42, issue.3, pp.223-235, 2013.

A. Stanis?aw, E. Raczynski, S. Vincent, and . Sagayama, Dynamic Bayesian networks for symbolic polyphonic pitch modeling, IEEE Transactions on Audio, Speech and Language Processing, vol.21, issue.9, pp.1830-1840, 2013.

I. Schankler, J. B. Smith, R. J. François, and E. Chew, Emergent Formal Structures of Factor Oracle-Driven Musical Improvisations, Mathematics and Computation in Music, vol.6726, pp.241-254, 2011.
DOI : 10.1007/978-3-642-21590-2_19

M. Erik, Y. E. Schmidt, and . Kim, Learning rhythm and melody features with deep belief networks, Proceedings of the International Society for Music Information Retrieval, pp.21-26, 2013.

F. Song and W. B. Croft, A general language model for information retrieval, Proceedings of the eighth international conference on Information and knowledge management , CIKM '99, pp.279-280, 1999.
DOI : 10.1145/319950.320022

G. Surges and S. Dubnov, Feature selection and composition using pyoracle, Proceedings of the 2nd International Workshop on Musical Metacreation, 2013.

S. Richard, A. G. Sutton, and . Barton, Reinforcement Learning : An Introduction, 1998.