Moving beyond the beads-on-a-string model of speech, Proc. of ASRU-1999, pp.79-84, 1999. ,
Toward a model for lexical access based on acoustic landmarks and distinctive features, The Journal of the Acoustical Society of America, vol.111, issue.4, pp.1872-1891, 2002. ,
DOI : 10.1121/1.1458026
Point process models for event-based speech recognition, Speech Communication, vol.51, issue.12, pp.1155-1168, 2009. ,
DOI : 10.1016/j.specom.2009.05.008
Speech recognition based on phonetic features and acoustic landmarks, 2004. ,
A probabilistic framework for segment-based speech recognition, Computer Speech & Language, vol.17, issue.2-3, pp.137-152, 2003. ,
DOI : 10.1016/S0885-2308(03)00006-8
Using broad phonetic classes to guide search in automatic speech recognition, Proc. of INTERSPEECH, 2012. ,
URL : https://hal.archives-ouvertes.fr/hal-00758427
Robust parameters for automatic segmentation of speech, IEEE International Conference on Acoustics Speech and Signal Processing, p.513, 2002. ,
DOI : 10.1109/ICASSP.2002.5743767
A short introduction to boosting, Japanese Society For Artificial Intelligence, vol.14, issue.5, pp.771-780, 1999. ,
Distributed learning with bagging-like performance, Pattern Recognition Letters, vol.24, issue.1-3, pp.455-471, 2003. ,
DOI : 10.1016/S0167-8655(02)00269-6
The ES- TER 2 evaluation campaign for the rich transcription of French broadcasts, Proc. of INTERSPEECH, pp.1149-1152, 2009. ,