P. Agre, Toward a critical technical practice : Lessons learned in trying to reform AI, Social Science, Technical Systems and Cooperative Work : Beyond the Great Divide, pp.131-158, 1997.

. Lee, A. Sanjit, and . Seshia, Control improvisation with probabilistic temporal specifications, Proceedings of the IEEE 1st International Conference on the Internet-of-Things Design and Implementation, pp.187-198, 2016.

C. Allauzen, M. Crochemore, and . Mathieu-raffinot, Factor Oracle: A New Structure for Pattern Matching, Proceedings of SOFSEM'99, Theory and Practice of Informatics, pp.291-306, 1999.
DOI : 10.1007/3-540-47849-3_18

URL : https://hal.archives-ouvertes.fr/hal-00619846

C. Ames, The Markov Process as a Compositional Model: A Survey and Tutorial, Leonardo, vol.22, issue.2, pp.175-187, 1989.
DOI : 10.2307/1575226

D. Ardila, C. Resnick, A. Roberts, and D. Eck, Audio DeepDream : optimizing raw audio with convolutional networks, Proceedings of the 17th International Society for Music Information Retrieval Conference, 2016.

C. Ariza, An open design for computer-aided algorithmic music composition : athenaCL, 2005.

S. Arom, Les musiques traditionnelles d???Afrique Centrale??: conception/perception, Actes du Symposium International Composition et Perception Musicales, pp.177-198, 1987.
DOI : 10.4000/books.contrechamps.1956

G. Assayag, Computer assisted composition today, Proceedings of the 1st Symposium on Music and Computers, 1998.

G. Assayag, Improvising in creative symbolic interaction World Scientific, Mathematical Conversations : Mathematics and Computation in Music Performance and Composition, pp.61-74, 2016.

G. Assayag and &. Bloch, Navigating the oracle : a heuristic approach, Proceedings of the 33rd 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 3rd Sound and Music Computing Conference, 2006.
URL : https://hal.archives-ouvertes.fr/hal-01161346

G. Assayag, G. Bloch, M. Chemillier, A. Cont, and S. Dubnov, OMax brothers, Proceedings of the 1st ACM workshop on Audio and music computing multimedia , AMCMM '06, pp.125-132, 2006.
DOI : 10.1145/1178723.1178742

URL : https://hal.archives-ouvertes.fr/hal-00839075

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

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

G. Assayag, S. Dubnov, and . Olivier-delerue, Guessing the composer's mind : applying universal prediction to musical style, Proceedings of the 25th International Computer Music Conference, pp.496-499, 1999.

C. Baier and &. Katoen, Principles of model checking, 2008.

D. Bailey, Improvisation, its nature and practice in music, 1980.

E. Battenberg and &. Wessel, Analyzing drum patterns using conditional deep belief networks, Proceedings of the 13th International Society for Music Information Retrieval Conference, pp.37-42, 2012.

I. Matthew, &. Bellgard, and . Tsang, Harmonizing music the Boltzmann way, Musical Networks, pp.261-277, 1999.

P. Berliner, Thinking in jazz : The infinite art of improvisation, 1994.
DOI : 10.7208/chicago/9780226044521.001.0001

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

F. Levé, Sketching sonata form structure in selected classical string quartets, Proceedings of the International Society for Music Information Retrieval Conference, 2017.

F. Bimbot, E. Deruty, G. Sargent, and . Vincent, System & Contrast: A Polymorphous Model of the Inner Organization of Structural Segments within Music Pieces, Music Perception: An Interdisciplinary Journal, vol.33, issue.5, pp.631-661, 2016.
DOI : 10.1525/mp.2016.33.5.631

URL : https://hal.archives-ouvertes.fr/hal-00868398

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

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

J. Bowers, Improvising machines ethnographically informed design for improvised electro-acoustic music, 2002.

F. Peter, P. V. Brown, R. L. Desouza, V. J. Mercer, . Pietra et al., Class-based n-gram models of natural language, Computational linguistics, vol.18, issue.4, pp.467-479, 1992.

B. Börschinger, K. Bevan, M. Jones, and . Johnson, Reducing grounded learning tasks to grammatical inference, Proceedings of the Empirical Methods in Natural Language Processing Conference, pp.1416-1425, 2011.

J. Cage, Silence : lectures and writings, 1973.

J. Campbell, Basic organization of pitch and time in Pierre Boulez's 'Messagesquisse' Hips Road, Arcana VII : Musicians on Music, pp.25-36, 2014.

P. Canguilhem, Improvisation as concept and musical practice in the 15th century The Cambridge History of Fifteenth-Century Music, pp.149-163, 2015.

C. Canonne and &. Garnier, A Model for Collective Free Improvisation, Proceedings of the 3rd International Conference on Mathematics and Computation in Music, pp.29-41, 2011.
DOI : 10.1109/TASL.2007.912378

URL : https://hal.archives-ouvertes.fr/ensl-01137362

M. Chemillier, Improviser des séquences d'accords de jazz avec des grammaires formelles, Actes des Journées d'Informatique Musicale, pp.121-126, 2001.

M. Chemillier, Toward a formal study of jazz chord sequences generated by Steedman's grammar. Soft Computing, pp.617-622, 2004.

A. Chemla-romeu-santos, Guidages de l'improvisation, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01388641

F. Stanley and . Chen, Performance prediction for exponential language models, NAACL'09 Proceedings of Human Language Technologies, pp.450-458, 2009.

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

N. Chomsky, Three models for the description of language, IEEE Transactions on Information Theory, vol.2, issue.3, pp.113-124, 1956.
DOI : 10.1109/TIT.1956.1056813

N. Chomsky, Aspects of the Theory of Syntax, 1965.
DOI : 10.21236/AD0616323

N. Chomsky, Studies on semantics in generative grammar, 1972.
DOI : 10.1515/9783110814231

N. Chomsky, Reflections on Language, 1975.

N. Chomsky and &. Morris-halle, The Sound Pattern of English, 1968.

J. Coker, Improvising jazz. Fireside, 1964.

D. Conklin, Representation and Discovery of Vertical Patterns in Music, Proceedings of the 2nd International Conference of Music and Artificial Intelligence, pp.32-42, 2002.
DOI : 10.1007/3-540-45722-4_5

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

D. Conklin, Multiple Viewpoint Systems for Music Classification, Journal of New Music Research, vol.41, issue.5, pp.19-26, 2013.
DOI : 10.1162/014892601753189547

D. Conklin and &. Anagnostopoulou, Representation and discovery of multiple viewpoint patterns, Proceedings of the International Computer Music Conference, pp.479-485, 2001.

D. Conklin, &. John, and G. Cleary, Modelling and generating music using multiple viewpoints, Proceedings of the 1st workshop on AI and Music, pp.125-137, 1988.

D. Conklin, &. Ian, and H. Witten, Multiple viewpoint systems for music prediction, Journal of New Music Research, vol.4, issue.1, pp.51-73, 1995.
DOI : 10.2307/3680523

A. Cont, Antescofo : anticipatory synchronization and control of interactive parameters in computer music, Proceedings of the International Computer Music Conference, pp.33-40, 2008.
URL : https://hal.archives-ouvertes.fr/hal-00694803

J. Coursil, Hidden principles of improvisation Hips Road, Arcana III : Musicians on Music, pp.58-65, 2008.

M. Crispell, Elements of improvisation Hips Road, Arcana : Musicians on Music, pp.190-192, 2000.

M. Crochemore, C. Hancart, and . Thierry-lecroq, Algorithms on strings, 2007.
DOI : 10.1017/CBO9780511546853

URL : https://hal.archives-ouvertes.fr/hal-00470109

M. Crochemore, L. Ilie, and . Seid-hilmi, THE STRUCTURE OF FACTOR ORACLES, International Journal of Foundations of Computer Science, vol.8, issue.04, pp.781-797, 2007.
DOI : 10.1142/S0129054105003741

URL : https://hal.archives-ouvertes.fr/hal-00619689

M. Crochemore and &. Rytter, Text algorithms, 1994.
URL : https://hal.archives-ouvertes.fr/hal-00619796

M. Crochemore and &. Vérin, On compact directed acyclic word graphs, Structures in Logic and Computer Science, pp.192-211, 1997.
DOI : 10.1007/3-540-63246-8_12

URL : https://hal.archives-ouvertes.fr/hal-00620801

A. De-cheveigné and &. 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.
DOI : 10.1121/1.1458024

W. Bas-de-haas, M. Rohrmeier, R. C. Veltkamp, and F. Wiering, Modeling harmonic similarity using a generative grammar of tonal harmony, Proceedings of the 10th International Society for Music Information Retrieval Conference, pp.549-554, 2009.

. Carl-de-marcken, Lexical heads, phrase structure and the induction of grammar, Proceedings of the 3rd Workshop on Very Large Corpora, pp.14-26, 2015.

D. Di-carlo and A. Liutkus, Interference reduction on full-length live recordings, Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, 2018.

A. Donzé, R. Valle, I. Akkaya, S. Libkind, S. A. Seshia et al., Machine improvisation with formal specifications, Proceedings of the 40th International Computer Music Conference, pp.1277-1284, 2014.

S. Dubnov and G. Assayag, Audio oracle : a new algorithm for fast learning of audio structures, Proceedings of the International Computer Music Conference, pp.224-227, 2007.
URL : https://hal.archives-ouvertes.fr/hal-00839072

S. Dubnov and G. Assayag, Universal classification applied to musical sequences, Proceedings of the International Computer Music Conference, pp.332-340, 1998.
URL : https://hal.archives-ouvertes.fr/hal-01161365

S. Dubnov, G. Assayag, and O. Lartillot, Using machine-learning methods for musical style modeling, Computer, vol.36, issue.10, pp.73-80, 2003.
DOI : 10.1109/MC.2003.1236474

A. Durant, Improvisation in the political music since 1960, Music and the politics of culture, pp.252-282, 1989.

K. Déguernel, N. Libermann, and . Vincent, La musique comme une langue, Mathématiques et langages, pp.18-19, 2017.

K. Déguernel, J. Nika, and E. Vincent, Generating equivalent chord progressions to enrich guided improvisation : application to rhythm changes, Proceedings of the the 14th Sound and Music Computing Conference, pp.399-406, 2017.

K. Déguernel and E. Vincent, Using multidimensional sequences for improvisation in the OMax paradigm, Proceedings of the 13th Sound and Music Computing Conference, pp.117-122, 2016.

K. Déguernel and E. Vincent, Probabilistic factor oracles for multidimensional machine improvisation, Computer Music Journal, vol.42, issue.2, 2018.

D. Eck and &. Jasmin-lapalme, Learning musical structure directly from sequences of music, 2008.

T. Eerola, The dynamics of musical expectancy : cross-cultural and statistical approaches to melodic expectations, 2004.

A. Einbond, D. Schwarz, R. Borghesi, and N. Schnell, Introducing CatOracle : corpus-based concatenative improvisation with the audio oracle algorithm, Proceedings of the 42nd International Computer Music Conference, pp.140-147, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01427364

M. Ferrand, P. Nelson, and . Wiggins, A probabilistic model for melody segmentation, Proceedings of the 2nd International Conference on Music and Artificial Intelligence, 2002.

G. Fiorentino, El origen de los esquemas armónicos entre tradición oral y transmisión escrita, 2013.

R. J. Alexandre, I. François, E. Schankler, and . Chew, Mimi4x : an interactive audio-visual installation for high-level structural improvisation, International Journal of Arts and Technology, vol.6, issue.2, pp.138-151, 2010.

A. William, &. Gale, W. Kenneth, and . Church, What's wrong with adding one ? Rodolpi, Corpus-Based Research into Language, pp.189-200, 1994.

M. Gallé, Searching for compact hierarchical structures in DNA by means of the smallest grammar problem, 2011.

H. Garfinkel, Studies in ethnomethodology, 1967.

F. Ghedini, F. Pachet, and P. Roy, Creating Music and Texts with Flow Machines, Multidisciplinary Contributions to the Science of Creative Thinking, pp.325-343, 2016.
DOI : 10.1007/978-981-287-618-8_18

T. Gifford, &. Andrew, and R. Brown, Beyond reflexivity : mediating between imitative and intelligent action in an interactive music system, Proceedings of the 25th BCS Conference on Human-Computer Interaction, 2011.

M. Giraud and K. Déguernel, Fragmentations with Pitch, Rhythm and Parallelism Constraints for Variation Matching, Proceedings of the 10th International Symposium of Computer Music Multidisciplinary Research, pp.298-312, 2014.
DOI : 10.1007/978-3-319-12976-1_19

URL : https://hal.archives-ouvertes.fr/hal-00906462

I. J. Good, The population frequencies of species and the estimation of population parameters, Biometrika, vol.40, pp.3-4, 1953.

C. Guichaoua, Modèles de compression et critères de complexité pour la description et l'inférence de structure musicale, 2017.

A. Mark, &. Hall, and . Smith, A computer model of blues music and its evaluation, Journal of the Acoustical Society of America, vol.100, issue.2, pp.1163-1167, 1996.

A. Lejaren, &. Hiller, M. Leonard, and . Isaacson, Experimental music : composition with an electronic computer, 1959.

E. John, &. Hopcroft, D. Jeffrey, and . Ullman, Introduction to Automata Theory, Languages and Computation, 1979.

R. Jackendoff and &. Lerdahl, The capacity for music : what is it, and what's special about it ? Cognition, pp.33-72, 2006.

T. Jebara, Machine learning : discriminative and generative. Sprin- ger, 2004.
DOI : 10.1007/978-1-4419-9011-2

H. Jeffreys, Theory of probability, 1948.

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

S. Johnson, The New York schools of music and the visual arts Routledge, 2012.

S. Kalonaris, Markov networks for free improvisers, Proceedings of the 42nd International Computer Music Conference, pp.181-185, 2016.

M. Slava and . Katz, Estimation of probabilities from sparse data for the language model component of a speech recognizer, IEEE Transactions on Acoustics, Speech and Signal Processing, vol.35, issue.3, pp.400-401, 1987.

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

D. Klein, &. Christopher, and D. Manning, Corpus-based induction of syntactic structure, Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics , ACL '04, pp.479-486, 2004.
DOI : 10.3115/1218955.1219016

S. Koelsch, M. Rohrmeier, R. Torrecuso, and . Sebastian-jentschke, Processing of hierarchical syntactic structure in music, Proceedings of the National Academy of Sciences, pp.15443-15448, 2013.
DOI : 10.1371/journal.pone.0020160

D. Koller and &. Friedman, Probabilistic graphical models : principles and techniques, 2009.

A. Korzybski, Science and sanity. An introduction to nonaristotelian systems and general semantics, 1994.

K. Kurihara and &. Sato, An application of the variational Bayesian approach to probabilistic context-free grammar, Proceedings of the International Joint Conference on Natural Language Processing, 2004.

T. Kwiatkowski, S. Goldwater, L. Zettlemoyer, and M. Steedman, A probabilistic model of syntactic and semantic acquisition from child-directed utterances and their meanings, Proceedings of the European Chapter of the Association for Computational Linguistics, pp.234-244, 2012.

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

F. Lerdahl and &. Jackendoff, A Generative Theory of Tonal Music, 1983.

M. Levine, The jazz theory book, 1995.

G. E. Lewis, Teaching improvised music : An ethnographic memoir Hips Road, Arcana : Musicians on Music, pp.78-109, 2000.

W. Li, A. Forin, A. Sanjit, and . Seshia, Scalable specification mining for verification and diagnosis, Proceedings of the 47th Design Automation Conference on, DAC '10, pp.755-760, 2010.
DOI : 10.1145/1837274.1837466

URL : http://www-cad.eecs.berkeley.edu/%7Esseshia/pubdir/dac10.pdf

B. Lévy and G. Bloch, 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

T. Mikolov, A. Deoras, S. Kombrink, L. Burget, and . Jan-'honza-'?ernocký, Empirical evaluation and combination of advanced language modeling techniques, Proceedings of the 12th Annual Conference of the International Speech Communication Association, pp.605-608, 2011.

M. Mongeau and &. Sankoff, Comparison of musical sequences, Computers and the Humanities, vol.15, issue.3, pp.161-175, 1990.
DOI : 10.1007/BF00117340

URL : https://hal.archives-ouvertes.fr/hal-01098807

I. Monson, Saying something : jazz, improvisation and interaction, 1996.
DOI : 10.7208/chicago/9780226534794.001.0001

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

C. Michael and . Mozer, Neural network music composition by prediction : exploring the benefits of psychoacoustic constraints and multi-scale processing, Connection Science, vol.6, pp.2-3, 1994.

H. Ney, U. Essen, and R. Kneser, On structuring probabilistic dependences in stochastic language modeling, Computer, Speech and Languages, vol.8, pp.1-38, 1994.

J. Nika, Guiding human-computer music improvisation : introducing authoring and control with temporal scenarios, 2016.
URL : https://hal.archives-ouvertes.fr/tel-01398364

J. Nika, D. Bouche, J. Bresson, and M. Chemillier, Guided improvisation as dynamic calls to an offline model, Proceedings of the 12th Sound and Music Computing Conference, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01184642

J. Nika and &. Marc-chemillier, Improvisation musicale hommemachine guidée par un scénario temporel, Technique et Science Informatiques, pp.7-8, 2014.

J. Nika and M. Chemillier, ImproteK, Computers in Entertainment, vol.14, issue.2, pp.1-27, 2017.
DOI : 10.1016/B978-0-12-213562-0.50020-6

URL : https://hal.archives-ouvertes.fr/hal-01380163

J. Nika, K. Déguernel, A. Chemla-romeu-santos, and E. Vincent, DYCI2 agents : merging the " free " , " reactive " and " scenario-based " music generation paradigms, Proceedings of the 43rd International Computer Music Conference, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01583089

L. Ochs, Devices and strategies for structured improvisation Hips Road, Arcana : Musicians on Music, pp.325-335, 2000.

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 &. Roy, Markov constraints: steerable generation of Markov sequences, Constraints, vol.37, issue.4, pp.148-172, 2011.
DOI : 10.1109/18.87000

F. Pachet, P. Roy, J. Moreira, and . Mark, Reflexive loopers for solo musical improvisation, Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI '13, pp.2205-2208, 2013.
DOI : 10.1145/2470654.2481303

V. Padilla and &. Conklin, Statistical generation of two-voice florid counterpoint, Proceedings of the 13th Sound and Music Computing Conference, pp.380-387, 2016.

A. Papadopoulos and P. Roy, Avoiding plagiarism in Markov sequence generation, Proceedings of the 28th AAAI Conference on Artificial Intelligence, pp.2731-2737, 2014.

A. Papadopoulos and P. Roy, Assisted Lead Sheet Composition Using FlowComposer, Proceedings of the 22nd International Conference on Principles and Practice of Constraint Programming, pp.769-785, 2016.
DOI : 10.1007/978-3-642-04579-0_11

C. Parker and &. Aebersold, Charlie Parker Omnibook, 1978.

K. John, &. Pate, and . Johnson, Grammar induction from (lots of) words alone, Proceedings of the 26th International Conference on Computational Linguistics, pp.23-32, 2016.

T. Marcus and . Pearce, The construction and evaluation of statistical models of melodic structure in music perception and composition, 2005.

T. Marcus, &. Pearce, A. Geraint, and . Wiggins, Auditory expectation : the information dynamics of music perception and cognition, Topics in Cognitive Science, vol.4, issue.4, pp.625-652, 2012.

F. Peng, D. Schuurmans, and . Wang, Augmenting Naive Bayes Classifiers with Statistical Language Models, Information Retrieval, vol.7, issue.3/4, pp.317-345, 2004.
DOI : 10.1023/B:INRT.0000011209.19643.e2

URL : http://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1090&context=cs_faculty_pubs

J. Pickens, A comparison of language modeling and probabilistic text information retrieval approaches to monophonic music retrieval, Proceeding of the 1st International Symposium on Music Information Retrieval Conference, 2000.

J. Pickens, J. P. Bello, G. Monti, T. Crawford, M. Dovey et al., Polyphonic Score Retrieval Using Polyphonic Audio Queries: A Harmonic Modeling Approach, Journal of New Music Research, vol.32, issue.2, pp.223-236, 2002.
DOI : 10.1076/jnmr.32.2.223.16742

URL : http://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1127&context=cs_faculty_pubs

C. Richard and . Pinkerton, Information theory and melody, Scientific American, vol.194, issue.2, pp.77-86, 1956.

D. Ponsford, G. Wiggins, and C. Mellish, Statistical Learning of Harmonic Movement, Journal of New Music Research, vol.28, issue.2, pp.77-105, 1999.
DOI : 10.1076/jnmr.28.2.150.3115

C. Pérez-sancho, D. Rizo, M. José, and . Iñesta, Stochastic Text Models for Music Categorization, Proceedings of the Joint IAPR International Workshops on Statistical Techniques in Pattern Recognition and Structural and Syntactic Pattern Recognition, pp.55-64, 2008.
DOI : 10.1109/18.87000

A. Stanis?aw and . Vincent, Genre-based music language modelling with latent hierarchical Pitman-Yor process allocation, IEEE Transactions on Audio, Speech and Language Processing, vol.22, issue.3, pp.672-681, 2014.

B. Ravenet, A. Cafaro, B. Biancardi, M. Ochs, and C. Pelachaud, Conversational Behavior Reflecting Interpersonal Attitudes in Small Group Interactions, Proceedings of the 15th International Conference on Intelligent Virtual Agents, pp.375-388, 2015.
DOI : 10.1007/978-3-319-21996-7_41

M. Rohrmeier, A generative grammar approach to diatonic harmonic structure, Proceedings of the 4th Sound and Music Computing Conference, pp.97-100, 2007.

D. Rosenboom, Improvisation and composition -synthesis and integration into the music curriculum, Proceedings of the 71st Annual Meeting, National Association of Schools of Music, pp.19-31, 1996.

D. Rosenboom, Propositional music : on emergent properties in morphogenesis and the evolution of music Hips Road, Arcana : Musicians on Music, pp.203-232, 2000.

R. Rowe, Interactive Music Systems : Machine Listening and Composing, 1992.

P. Roy and &. Pachet, Enforcing meter in finite-length Markov sequences, Proceedings of the 27th AAAI Conference on Artificial Intelligence, pp.854-861, 2013.

N. Ruozi, The Bethe partition of log-supermodular graphical models, Advances in Neural Information Processing Systems, 2012.

G. Sanguinetti, The art of partimento. History, theory and practice, 2012.

K. Sanlaville, G. Assayag, F. Bevilacqua, and C. Pelachaud, Emergence of synchrony in an adaptive interaction model, Intelligent Virtual Agents Doctoral Consortium, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01164604

K. Sanlaville, G. Assayag, F. Bevilacqua, and C. Pelachaud, Modèles probabilistes pour l'interaction entre agents, Actes du Workshop Affect, 2016.

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 : 10.1145/1279740.1279798

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

J. Schott, We are revealing a hand that will later reveal us " ? notes on form and harmony in Coltrane's work Hips Road, Arcana : Musicians on Music, pp.345-366, 2000.

D. Schwarz, Corpus-Based Concatenative Synthesis, IEEE Signal Processing Magazine, vol.24, issue.2, pp.92-104, 2007.
DOI : 10.1109/MSP.2007.323274

URL : https://hal.archives-ouvertes.fr/hal-01161253

C. Shannon, A Mathematical Theory of Communication, Bell System Technical Journal, vol.27, issue.3, pp.379-423, 1948.
DOI : 10.1002/j.1538-7305.1948.tb01338.x

D. Shea, One/two Hips Road, Arcana : Musicians on Music, pp.145-152, 2000.

J. Siron, La partition intérieure ? jazz, musiques improvisées, 2015.

B. L. Jordan and . Smith, Explaining listener differences in the perception of musical structure, 2014.

B. L. Jordan, I. Smith, E. Schankler, and . Chew, Why do listeners disagree about large-scale formal structure ? A case study Music and Memory, Proceedings of the Society for Music Perception and Cognition Conference, 2000.

F. Song and &. W. 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

URL : http://ciir.cs.umass.edu/pubfiles/ir-171.pdf

M. Steedman, A Generative Grammar for Jazz Chord Sequences, Music Perception: An Interdisciplinary Journal, vol.2, issue.1, pp.52-77, 1984.
DOI : 10.2307/40285282

M. Steedman, The blues and the abstract truth : music and mentals models, Mental Models in Cognitive Science, pp.305-318, 1996.

A. Stolcke, J. Zheng, W. Wang, and . Victor-abrash, SRILM at sixteen : update and outlook, Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2011.

D. Sudnow, Ways of the hand : The Organization of Improvised Conduct, 1978.

G. Surges and &. Dubnov, Feature selection and composition using PyOracle, Proceedings of the 2nd International Workshop on Musical Metacreation, pp.114-121, 2013.

D. Temperley, A Probabilistic Model of Melody Perception, Cognitive Science: A Multidisciplinary Journal, vol.32, issue.2, pp.418-444, 2008.
DOI : 10.1080/03640210701864089

C. Tsang, &. Matthew, and I. Bellgard, Sequence generation using a network of Boltzmann machines, Proceedings of the 4th Australian Joint Conference on Artificial Intelligence, pp.224-233, 1990.

R. Valle, A. Donzé, D. J. Fremont, I. Akkaya, S. A. Seshia et al., Specification Mining for Machine Improvisation with Formal Specifications, Computers in Entertainment, vol.14, issue.3, pp.1-20, 2016.
DOI : 10.1145/1134285.1134325

A. Van-den, S. Oord, H. Dieleman, K. Zen, O. Simonyan et al., Wavenet : a generative model for raw audio. arXiv preprint, Nal Kalchbrenner, Andrew Senior, & Koray Kavukcuoglu, 2016.

P. Vanhaesebrouck, A. Bellet, and M. Tommasi, Decentralized collaborative learning of personalized models over networks, Proceedings of the International Conference on Artificial Intelligence and Statistics, pp.509-517, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01383544

&. Cheng-i-wang and . Dubnov, Guided music synthesis with variable markov oracle, Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, pp.55-62, 2014.

R. P. Whorley, G. A. Wiggins, C. Rhodes, T. Marcus, and . Pearce, Multiple Viewpoint Systems: Time Complexity and the Construction of Domains for Complex Musical Viewpoints in the Harmonization Problem, Journal of New Music Research, vol.42, issue.3, pp.237-266, 2013.
DOI : 10.1109/TIT.1967.1054010

H. Ian, &. Witten, C. Timothy, and . Bell, The zero-frequency problem : estimating the probabilities of novel events in adaptive text compression, IEEE Transactions of Information Theory, vol.37, issue.4, pp.1085-1094, 1991.

L. Yang, S. Chou, and Y. Yang, MidiNet : a convolutional generative adversarial network for symbolic-domain music generation, Proceedings of the 18th International Society for Music Information Retrieval Conference, pp.324-331, 2017.

C. Zhai and &. Lafferty, A study of smoothing methods for language models applied to information retrieval, ACM Transactions on Information Systems, vol.22, issue.2, pp.179-214, 2004.
DOI : 10.1145/984321.984322

I. Zitouni, K. Smaïli, and J. Haton, Beyond the conventional statistical language models : the variable-length sequences approach, Interspeech, pp.562-565, 2000.
URL : https://hal.archives-ouvertes.fr/inria-00099107

J. Ziv and &. Lempel, Compression of individual sequences via variable-rate coding, IEEE Transactions on Information Theory, vol.24, issue.5, pp.530-536, 1978.
DOI : 10.1109/TIT.1978.1055934