A. Zolnay, R. Schlüter, and H. Ney, Acoustic Feature Combination for Robust Speech Recognition, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005., pp.457-460, 2005.
DOI : 10.1109/ICASSP.2005.1415149

L. Barrault, C. Servan, D. Matrouf, G. Linarès, and R. Mori, Framebased acoustic feature integration for speech understanding, Proc. IEEE Int. Conf. Acoustics, Speech and Signal Processing ICASSP, pp.4997-5000, 2008.
DOI : 10.1109/icassp.2008.4518780

URL : https://hal.archives-ouvertes.fr/hal-00424663

B. Hoffmeister, T. Klein, R. Schlüter, and H. Ney, Frame based system combination and a comparison with weighted ROVER and CNC, ICSLP, 2006.

H. Nock and S. Young, Loosely coupled HMMs for ASR, ICSLP, 2000.

S. Stüker, C. Fügen, S. Burger, and M. Wölfel, Cross-system adaptation and combination for continuous speech recognition: The influence of phoneme set and acoustic front-end, Conference on Speech Communication and Technology, 2006.

L. Burget and F. Vut, Complementarity of speech recognition systems and system combination, 2004.

O. Siohan, O. Siohan, B. Ramabhadran, and B. Kingsbury, Constructing ensembles of ASR systems using randomized decision trees, Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '05), B. Ramabhadran, pp.197-200, 2005.

C. Breslin and M. Gales, Complementary System Generation using Directed Decision Trees, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07, pp.15-20
DOI : 10.1109/ICASSP.2007.366918

J. Fiscus, A post-processing system to yield reduced word error rates: Recognizer Output Voting Error Reduction (ROVER), 1997 IEEE Workshop on Automatic Speech Recognition and Understanding Proceedings, pp.347-354, 1997.
DOI : 10.1109/ASRU.1997.659110

V. Goel, S. Kumar, and W. Byrne, Segmental minimum bayes-risk ASR voting strategies, ICSLP, 2000.
DOI : 10.1109/tsa.2004.825678

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.226.2556

D. Hillard, B. Hoffmeister, M. Ostendorf, R. Schlüter, and H. Ney, ROVER, Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Companion Volume, Short Papers on XX, NAACL '07, 2007.
DOI : 10.3115/1614108.1614125

R. Zhang and A. Rudnicky, Investigations of issues for using multiple acoustic models to improve continuous speech recognition, ICSLP, 2006.

H. Schwenk and J. Gauvain, Combining multiple speech recognizers using voting and language model information, ICSLP, 2000.

A. Sankar, Bayesian Model Combination (BAYCOM) for Improved Recognition, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005., pp.845-848, 2005.
DOI : 10.1109/ICASSP.2005.1415246

G. Evermann and P. Woodland, Posterior probability decoding, confidence estimation, and system combination, Proceedings NIST Speech Transcription Workshop, 2000.

I. Chen and L. Lee, A new framework for system combination based on integrated hypothesis space, Interspeech'06-ICSLP, 2006.

B. Lecouteux, G. Linarès, Y. Estève, and J. Mauclair, System Combination by Driven Decoding, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07, pp.341-344, 2007.
DOI : 10.1109/ICASSP.2007.366919

URL : https://hal.archives-ouvertes.fr/hal-01318073

B. Lecouteux, G. Linarès, Y. Estève, and G. Gravier, Generalized driven decoding for speech recognition system combination, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.1549-1552, 2008.
DOI : 10.1109/ICASSP.2008.4517918

URL : https://hal.archives-ouvertes.fr/hal-01318069

B. Lecouteux, G. Linarès, and S. Oger, Integrating imperfect transcripts into speech recognition systems for building high-quality corpora, Computer Speech & Language, vol.26, issue.2, pp.67-89, 2012.
DOI : 10.1016/j.csl.2011.06.001

URL : https://hal.archives-ouvertes.fr/hal-00953675

D. Tax, R. Duin, and M. Breukelen, Comparison between product and mean classifier combination rules, Workshop on Statistical Techniques in Pattern Recognition, 1997.

P. Nocéra, C. Fredouille, G. Linarès, D. Matrouf, S. Meignier et al., The LIA's French broadcast news transcription system, SWIM: Lectures by Masters in Speech Processing, 2004.

D. Massonié, P. Nocéra, and G. Linarès, Scalable language model lookahead for LVCSR, InterSpeech'05, 2005.

P. Placeway and J. Lafferty, Cheating with imperfect transcripts, Proceeding of Fourth International Conference on Spoken Language Processing. ICSLP '96, pp.2115-2118, 1996.
DOI : 10.1109/ICSLP.1996.607220

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.16.4448

]. P. Deléglise, Y. Estève, S. Meignier, and T. Merlin, The LIUM speech transcription system: A CMU Sphinx III-based system for French broadcast news, Interspeech'05-Eurospeech, 2005.

S. Galliano, E. Geoffrois, D. Mostefa, K. Choukri, J. Bonastre et al., The ESTER phase II evaluation campaign for the rich transcription of French broadcast news, Proc. of the European Conf. on Speech Communication and Technology, 2005.

J. Bonastre, F. Wils, and S. Meignier, ALIZE, a free toolkit for speaker recognition, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005., 2005.
DOI : 10.1109/ICASSP.2005.1415219

URL : https://hal.archives-ouvertes.fr/hal-01434280

B. Lecouteux, G. Linarès, and B. Favre, Combined low-level and highlevel features for out-of-vocabulary word detection, International conference of the Speech Communication Association, ISCA, Inter- Speech'09, 2009.

P. Placeway, S. Chen, M. Eskenazi, U. Jain, V. Parikh et al., The 1996 Hub-4 Sphinx-3 system, Proceedings of the 1997 ARPA Speech Recognition Workshop, pp.85-89, 1997.

J. Mauclair, Y. Estève, S. Petit-renaud, and P. Deléglise, Automatic detection of well recognized words in automatic speech transcription, LREC 2006, 2006.
URL : https://hal.archives-ouvertes.fr/hal-01434123

S. Huet, G. Gravier, and P. Sébillot, Morpho-syntactic post-processing of N-best lists for improved French automatic speech recognition, Computer Speech & Language, vol.24, issue.4, 2010.
DOI : 10.1016/j.csl.2009.10.001

URL : https://hal.archives-ouvertes.fr/hal-00508471