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

A. Cont, A Coupled Duration-Focused Architecture for Real-Time Music-to-Score Alignment, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.32, issue.6, pp.974-987, 2010.
DOI : 10.1109/TPAMI.2009.106

URL : https://hal.archives-ouvertes.fr/hal-00479737

D. Carl, L. H. Mitchell, and . Jamieson, Modeling duration in a hidden Markov model with the exponential family ICASSP-93, Acoustics, Speech, and Signal Processing IEEE International Conference on, pp.331-334, 1993.

C. Raphael, Automatic segmentation of acoustic musical signals using hidden Markov models, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.21, issue.4, pp.360-397, 1999.
DOI : 10.1109/34.761266

N. Orio and F. Déchelle, Score following using spectral analysis and hidden Markov models, Proc. of the International Computer Music Conference (ICMC), 2001.
URL : https://hal.archives-ouvertes.fr/hal-01161055

W. Fred, K. V. Steutel, and . Harn, Infinite Divisibility of Probability Distributions on the Real Line, 2003.

E. Stephen and . Levinson, Continuously variable duration hidden Markov models for automatic speech recognition, Comput. Speech Lang, vol.1, issue.1, pp.29-45, 1986.

D. Schwarz, N. Orio, and N. Schnell, Robust polyphonic midi score following with hidden Markov models, Proceedings of the ICMC, 2004.
URL : https://hal.archives-ouvertes.fr/hal-01161328

N. Montecchio and N. Orio, A discrete filter bank approach to audio to score matching for polyphonic music, Proceedings of ISMIR 2009, pp.495-500, 2009.

Y. Guédon, Estimating Hidden Semi-Markov Chains From Discrete Sequences, Journal of Computational and Graphical Statistics, vol.12, issue.3, pp.604-639, 2003.
DOI : 10.1198/1061860032030

A. Klapuri, A. J. Eronen, and J. Astola, Analysis of the meter of acoustic musical signals, IEEE Transactions on Audio, Speech and Language Processing, vol.14, issue.1, pp.342-355, 2006.
DOI : 10.1109/TSA.2005.854090

S. Yu and H. Kobayashi, A hidden semi-Markov model with missing data and multiple observation sequences for mobility tracking, Signal Processing, vol.83, issue.2, pp.235-250, 2003.
DOI : 10.1016/S0165-1684(02)00378-X

J. Lynch, G. Mimmack, and F. Proschan, Uniform stochastic orderings and total positivity, Canadian Journal of Statistics, vol.10, issue.1, pp.63-69, 1987.
DOI : 10.2307/3314862

D. Tweed, R. Fisher, J. Bins, and T. List, Efficient hidden semi-Markov model inference for structured video sequences, " in Visual Surveillance and Performance Evaluation of Tracking and Surveillance, pp.247-254, 2005.

T. Nakamura, E. Nakamura, and S. Sagayama, Acoustic score following to musical performance with errors ad arbitrary repeats and skips for automatic accompaniment, Proceedings of Sound and Music Computing, 2013.

H. Takeda, T. Nishimoto, and S. Sagayama, Rhythm and Tempo Analysis Toward Automatic Music Transcription, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07, pp.1317-1320, 2007.
DOI : 10.1109/ICASSP.2007.367320

C. Raphael, Aligning music audio with symbolic scores using a hybrid graphical model, Machine Learning, pp.389-409, 2006.
DOI : 10.1007/s10994-006-8415-3

Z. Duan and B. Pardo, Soundprism: An Online System for Score-Informed Source Separation of Music Audio, IEEE Journal of Selected Topics in Signal Processing, vol.5, issue.6, pp.1205-1215, 2011.
DOI : 10.1109/JSTSP.2011.2159701

N. Montecchio and A. Cont, A unified approach to real time audio-to-score and audio-to-audio alignment using sequential Monte Carlo inference techniques, ICASSP, pp.193-196, 2011.

T. Watanabe, On the Strong Unimodality of L??vy Processes, Nagoya Mathematical Journal, vol.15, pp.195-199, 1991.
DOI : 10.1080/01621459.1971.10482273

C. Sapp, The Mazurka Project, 2010.