B. Mesot. Inference in switching linear dynamical systems applied to noise robust speech recognition of isolated digits. PhD thesis, École Polytechnique Fédérale de Lausanne (EPFL), 2008. Thesis 4059. [ bib ] [ pdf ]


B. Mesot and D. Barber. A Simple Alternative Derivation of the Expectation Correction Algorithm. IEEE Signal Processing Letters, 2008. To appear. [ bib ] [ pdf ]

B. Mesot and D. Barber. Switching linear dynamical systems for noise robust speech recognition. IEEE Transactions on Audio, Speech and Language Processing, 15(6):1850–1858, August 2007. [ bib ] [ pdf ]

B. Mesot and C. Teuscher. Deducing local rules for solving global tasks with random boolean networks. Physica D: Nonlinear Phenomena, 211(1-2):88–106, November 2005. [ bib ] [ pdf ]


B. Mesot and D. Barber. A Bayesian alternative to gain adaptation in autoregressive hidden Markov models. In Proceedings of ICASSP 2007, April 2007. [ bib ] [ pdf ]

D. Barber and B. Mesot. A novel Gaussian sum smoother for approximate inference in switching linear dynamical systems. In Advances in Neural Information Processing Systems (NIPS), volume 20, 2006. [ bib ] [ pdf ]

G. Lathoud, M. Magimai-Doss, B. Mesot, and H. Bourlard. Unsupervised spectral subtraction for noise-robust ASR. In Proceedings of ASRU 2005, November 2005. [ bib ] [ pdf ]

G. Lathoud, M. Magimai-Doss, and B. Mesot. A spectrogram model for enhanced source localization and noise-robust ASR. In Proceedings of INTERSPEECH 2005, September 2005. [ bib ] [ pdf ]

B. Mesot and C. Teuscher. Critical values in asynchronous random boolean networks. In Proceedings of the 7th European Conference on Artificial Life (ECAL), volume 2801 of Lecture Notes in Computer Science, pages 367–376, September 2003. [ bib ] [ pdf ]

B. Mesot, E. Sanchez, C-A. Pena, and A. Perez-Uribe. SOS++: Finding smart behaviours using learning and evolution. In Proceedings of the 8th International Conference on Artificial Life, pages 264–273, 2002. [ bib ] [ pdf ]

E. Sanchez, A. Perez-Uribe, and B. Mesot. Solving partially observable problems by evolution and learning of finite state machines. In Proceedings of the 4th International Conference on Evolvable Systems, 2001. [ bib ] [ pdf ]

Technical Reports

B. Mesot and D. Barber. A Bayesian switching linear dynamical system for scale-invariant robust speech extraction. Technical Report IDIAP-RR-07-52, IDIAP Research Institute, October 2007. Rejected from ICASSP 2008. [ bib ] [ pdf ]

G. Lathoud, M. Magimai-Doss, and B. Mesot. A frequency–domain silence noise model. Technical Report IDIAP-RR-05-13, IDIAP Research Institute, April 2005. [ bib ] [ pdf ]

D. Barber and B. Mesot. Construction and comparison of approximations for switching linear Gaussian state space models. Technical Report IDIAP-RR-05-06, IDIAP Research Institute, February 2005. [ bib ] [ pdf ]

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