J. Paulus and A. Klapuri, Music structure analysis using a probabilistic fitness measure and an integrated musicological model, Proc. 9 th International Conference on Music Information Retrieval (ISMIR), pp.369-374, 2008.

J. Pauwels and J. Martens, Integrating musicological knowledge into a probabilistic framework for chord and key extraction, Proc. 128 th Audio Engineering Society Convention, 2010.

M. Ryynänen and A. Klapuri, Polyphonic music transcription using note event modeling, IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2005., pp.319-322, 2005.
DOI : 10.1109/ASPAA.2005.1540233

Y. Ueda, Y. Uchiyama, T. Nishimoto, N. Ono, and S. Sagayama, HMMbased approach for automatic chord detection using refined acoustic features, Proc. IEEE International Conference on Acoustics Speech and Signal Processing, pp.5518-5521, 2010.

H. Papadopoulos and G. Peeters, Large-Scale Study of Chord Estimation Algorithms Based on Chroma Representation and HMM, 2007 International Workshop on Content-Based Multimedia Indexing, pp.53-60, 2007.
DOI : 10.1109/CBMI.2007.385392

URL : https://hal.archives-ouvertes.fr/hal-00511437

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

A. Shirai and T. Taniguchi, A Proposal of an Interactive Music Composition System Using Gibbs Sampler, Human-Computer Interaction. Design and Development Approaches, pp.490-497, 2011.
DOI : 10.1007/978-3-642-21602-2_53

S. Flossmann, M. Grachten, and G. Widmer, Expressive Performance Rendering with Probabilistic Models, Guide to Computing for Expressive Music Performance, pp.75-98
DOI : 10.1007/978-1-4471-4123-5_3

T. Kim, S. Fukayama, T. Nishimoto, and S. Sagayama, Performance rendering for polyphonic piano music with a combination of probabilistic models for melody and harmony, Proc. of Sound and Music Computing Conference (SMC), pp.23-30, 2010.

E. Vincent, S. Raczy´nskiraczy´nski, N. Ono, and S. Sagayama, A roadmap towards versatile MIR, Proc. 11 th International Conference on Music Information Retrieval (ISMIR), pp.662-664, 2010.
URL : https://hal.archives-ouvertes.fr/inria-00544047

S. Abdallah and M. Plumbley, Unsupervised Analysis of Polyphonic Music by Sparse Coding, IEEE Transactions on Neural Networks, vol.17, issue.1, pp.179-196, 2006.
DOI : 10.1109/TNN.2005.861031

A. Klapuri, Multipitch Analysis of Polyphonic Music and Speech Signals Using an Auditory Model, IEEE Transactions on Audio, Speech, and Language Processing, vol.16, issue.2, pp.255-266, 2008.
DOI : 10.1109/TASL.2007.908129

H. Kameoka, T. Nishimoto, and S. Sagayama, A Multipitch Analyzer Based on Harmonic Temporal Structured Clustering, IEEE Transactions on Audio, Speech and Language Processing, vol.15, issue.3, pp.982-994, 2007.
DOI : 10.1109/TASL.2006.885248

C. Févotte, N. Bertin, and J. Durrieu, Nonnegative Matrix Factorization with the Itakura-Saito Divergence: With Application to Music Analysis, Neural Computation, vol.14, issue.3, pp.793-830, 2009.
DOI : 10.1016/j.sigpro.2007.01.024

S. Raczy´nskiraczy´nski, N. Ono, and S. Sagayama, Multipitch analysis with harmonic nonnegative matrix approximation, Proc. 8 th International Conference Music Information Retrieval (ISMIR), pp.381-386, 2007.

P. Smaragdis and J. Brown, Non-negative matrix factorization for polyphonic music transcription, 2003 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (IEEE Cat. No.03TH8684), pp.177-180, 2003.
DOI : 10.1109/ASPAA.2003.1285860

E. Vincent, N. Bertin, and R. Badeau, Adaptive Harmonic Spectral Decomposition for Multiple Pitch Estimation, IEEE Transactions on Audio, Speech, and Language Processing, vol.18, issue.3, pp.528-537, 2010.
DOI : 10.1109/TASL.2009.2034186

URL : https://hal.archives-ouvertes.fr/inria-00544094

B. Niedermayer, Non-negative matrix division for the automatic transcription of polyphonic music, Proc. 9 th International Conference on Music Information Retrieval (ISMIR), pp.544-545, 2008.

N. Boulanger-lewandowski, Y. Bengio, and P. Vincent, Discriminative non-negative matrix factorization for multiple pitch estimation, Proc. 13 th International Conference on Music Information Retrieval (ISMIR), 2012.

M. Ryynänen and A. Klapuri, Modelling of note events for singing transcription, Proc. ISCA Tutorial and Research Workshop on Statistical and Perceptual Audio, 2004.

C. Raphael and J. Stoddard, Harmonic analysis with probabilistic graphical models, Proc. 4 th International Conference on Music Information Retrieval (ISMIR), pp.177-181, 2003.

S. Raczy´nskiraczy´nski, E. Vincent, F. Bimbot, and S. Sagayama, Multiple pitch transcription using DBN-based musicological models, Proc. 11 th International Conference on Music Information Retrieval (ISMIR), pp.363-368, 2010.

K. Kashino, K. Nakadai, T. Kinoshita, and H. Tanaka, Application of bayesian probability network to music scene analysis, Working notes of IJCAI Workshop on CASA, pp.52-59, 1995.

M. Mauch and S. Dixon, Simultaneous Estimation of Chords and Musical Context From Audio, IEEE Transactions on Audio, Speech, and Language Processing, vol.18, issue.6, pp.1280-1289, 2010.
DOI : 10.1109/TASL.2009.2032947

F. Jelinek and R. Mercer, Interpolated estimation of Markov source parameters from sparse data, Proc. 1 st International Workshop on Pattern Recognition in Practice, pp.381-397, 1980.

D. Klakow, Log-linear interpolation of language models, Proc. 5 th International Conference on Spoken Language Processing, pp.1695-1699, 1998.

S. Chen and J. Goodman, An empirical study of smoothing techniques for language modeling, Proc. 34 th annual meeting on Association for Computational Linguistics, pp.310-318, 1996.

R. Development and C. Team, R: A Language and Environment for Statistical Computing, R Foundation for Statistical Computing, 2011.

R. Scholz, E. Vincent, and F. Bimbot, Robust modeling of musical chord sequences using probabilistic N-grams, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.53-56, 2009.
DOI : 10.1109/ICASSP.2009.4959518

URL : https://hal.archives-ouvertes.fr/inria-00544166

T. Fujishima, Realtime chord recognition of musical sound: a system using Common Lisp music, Proc. International Computer Music Conference (ICMC), pp.464-467, 1999.

M. Goto, H. Hashiguchi, T. Nishimura, and R. Oka, RWC music database: Music genre database and musical instrument sound database, Proc. 4 th International Conference on Music Information Retrieval (ISMIR), pp.229-230, 2003.

M. The and . Project, Free classical and contemporary sheet music, 2011.

H. Kaneko, D. Kawakami, and S. Sagayama, Functional harmony annotation database for statistical music analysis, Proc. International Conference on Music Information Retrieval (ISMIR), 2010.

E. Charniak, Statistical language learning, pp.34-36, 1996.

L. Rabiner, A tutorial on hidden Markov models and selected applications in speech recognition, Proc. IEEE, pp.257-286, 1989.

S. Raczy´nskiraczy´nski, N. Ono, and S. Sagayama, Extending nonnegative matrix factorization?a discussion in the context of multiple frequency estimation of musical signals, Proc. 17 th European Signal Processing Conference, pp.934-938, 2009.

G. Zweig, A forward-backward algorithm for inference in Bayesian networks and an empirical comparison with HMMs, 1996.

K. Murphy, Dynamic Bayesian networks: representation, inference and learning, 2002.

W. Hu, Y. Zhang, Q. Diao, and S. Huang, An efficient Viterbi algorithm on DBNs, Proc. 7 th European Conference on Speech Communication and Technology, pp.2533-2536, 2003.

M. The, Music information retrieval evaluation exchange (MIREX), 2012.