Reconnaissance automatique de la parole: du signal à son interprétation, 2006. ,
Acoustic feature selection using speech recognizers, Proc of IEEE ASRU Workshop, 1999. ,
Multiple resolution analysis for robust automatic speech recognition, Speech and Language, pp.2-21, 2006. ,
DOI : 10.1016/j.csl.2004.06.001
URL : https://hal.archives-ouvertes.fr/hal-01320119
Speaker-independent isolated word recognition using dynamic features of speech spectrum, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.34, issue.1, pp.52-59, 1986. ,
DOI : 10.1109/TASSP.1986.1164788
Robust speaker-independent word recognition using static, dynamic and acceleration features: experiments with Lombard and noisy speech, International Conference on Acoustics, Speech, and Signal Processing, pp.857-860, 1990. ,
DOI : 10.1109/ICASSP.1990.115973
Reconnaissance de la parole continue : Adaptation au locuteur et contrôle temporel dans les modèles de Markov Cachés, 1996. ,
Modèles acoustiques compacts pour les systèmes embarqués, 2006. ,
Statistical pattern recognition: a review, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.22, issue.1, pp.4-37, 2000. ,
DOI : 10.1109/34.824819
Une nouvelle méthode de sélection des paramètres pertinents : application en reconnaissance de la parole, Proc. conférence TAIMA, pp.399-407, 2009. ,
Low bias histogram-based estimation of mutual information for feature selection, Pattern Recognition Letters, vol.33, issue.10, pp.1302-1308, 2012. ,
DOI : 10.1016/j.patrec.2012.02.022
URL : https://hal.archives-ouvertes.fr/hal-00771889
Reconnaissance automatique de la parole: progrès et tendances, pp.239-266, 1990. ,
Fundamentals of speech recognition, 1993. ,
The Aurora experimental framework for the performance evaluation of speech recognition systems under Noisy conditions, Proc. ISCA ITRW ASR2000, pp.181-188, 2000. ,
The HTK book (HTK version 3.4). Cambridge, 2006. ,
ELRA -European Language Resources AssociationOn the use of windows for harmonic analysis with the discrete Fourier transform, Proc. IEEE, pp.51-83, 1978. ,
Digital processing of speech signals, 1978. ,
Perceptual linear predictive (PLP) analysis of speech, The Journal of the Acoustical Society of America, vol.87, issue.4, pp.1738-1752, 1990. ,
DOI : 10.1121/1.399423
Comparison of parametric representations for 118 monosyllabic word recognition in continuously spoken sentences, IEEE Trans ,
A comparative study of using different speech parameters in the design of a discrete hidden Markov model, Proceedings IEEE Southeastcon '92, pp.475-478, 1992. ,
DOI : 10.1109/SECON.1992.202396
Evaluation and optimization of perceptually-based ASR front-end, IEEE Transactions on Speech and Audio Processing, vol.1, issue.1, pp.39-48, 1993. ,
DOI : 10.1109/89.221366
A comparison of signal processing front ends for automatic word recognition, IEEE Transactions on Speech and Audio Processing, vol.3, issue.4, pp.286-293, 1995. ,
DOI : 10.1109/89.397093
Speech Synthesis and Recognition, 2002. ,
Jully) Feature Statistics Comparison PageCepstral analysis technique for automatic speaker verification, IEEE Transactions on Acoustics, Speech and Signal Processing, vol.29, issue.2, pp.254-272, 1981. ,
Introduction to Digital Speech Processing, Foundations and Trends?? in Signal Processing, vol.1, issue.1???2, pp.1-194, 2007. ,
DOI : 10.1561/2000000001
Modèles dépendants du contexte et méthodes de fusion de données appliqués à la reconnaissance de la parole par modèles hybrides HMM_MLP, Faculté Polytechniques de Mons, 1998. ,
On the use of band pass liftering in speech recognition, Proc. ICASSP, pp.765-768, 1986. ,
On the use of instantaneous and transitional spectral information in speaker recognition, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.36, issue.6, pp.871-879, 1988. ,
DOI : 10.1109/29.1598
Improved acoustic modeling for large vocabulary continuous speech recognition, Computer Speech & Language, vol.6, issue.2, pp.103-127, 1992. ,
DOI : 10.1016/0885-2308(92)90022-V
Segmentation automatique de parole en phones. Correction d'étiquetage par l'introduction de mesures de confiance, Université de Rennes, vol.1, 2004. ,
URL : https://hal.archives-ouvertes.fr/tel-00122091
The DRAGON system--An overview, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.23, issue.1, pp.24-29, 1975. ,
DOI : 10.1109/TASSP.1975.1162650
Continuous speech recognition by statistical methods, Proc. of the IEEE, pp.532-556, 1976. ,
DOI : 10.1109/PROC.1976.10159
A tutorial on hidden Markov models and selected applications in speech recognition, Proc. of the IEEE, pp.257-286, 1989. ,
Eléments pour un système de reconnaissance automatique de la parole continue du Français, 1998. ,
An inequality and associated maximization technique in statistical estimation for probabilistic function of a Markov process, Inequality, vol.3, pp.1-8, 1972. ,
Neural Networks for Pattern Recognition, 1995. ,
39 Dimensionality and sample size considerations in pattern recognition practice, of Handbook of Statistics, pp.835-855, 1982. ,
DOI : 10.1016/S0169-7161(82)02042-2
On Dimensionality, Sample Size, Classification Error, and Complexity of Classification Algorithm in Pattern Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.2, issue.3, pp.243-251, 1980. ,
DOI : 10.1109/TPAMI.1980.4767011
Robust ASR front-end using spectral based and discriminant features: experiments on the aurora task, Proc. Interspeech, pp.429-432, 2001. ,
Combining articulatory and acoustic information for speech recognition in noise and reverberant environments, Proc. ICSLP, pp.891-894, 1998. ,
Auditory-based acoustic distinctive features and spectral cues for automatic speech recognition using a multi-stream paradigm, Proc. ICASSP, pp.837-840, 2002. ,
An evaluation of using mutual information for selection of acoustic features representation of phonemes for speech recognition, Proc. ICSLP, pp.2129-2132, 2002. ,
Maximum mutual information based acoustic features representation of phonological features for speech recognition, Proc. ICASSP, pp.81-84, 2002. ,
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
Introduction to Statistical Pattern Recognition, 1990. ,
Survey on independent component analysis, Neural Computing Survey, vol.2, pp.94-128, 1999. ,
The effects of signal representations, phonetic classification techniques, and the telephone network, Proc. ICSLP, pp.97-100, 1992. ,
A comparison of three noisy speech recognition approaches, Proc. ICSLP, pp.1031-1034, 1994. ,
un nouvel algorithme de sélection de caractéristiques Application à la lecture automatique de l'écriture manuscrite Ecole de technologies supérieure, université du Québec, 2003. ,
Feature selection: evaluation, application, and small sample performance, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.19, issue.2, pp.153-158, 1997. ,
DOI : 10.1109/34.574797
Feature selection for classification, Intelligent Data Analysis, vol.1, issue.1-4, pp.131-156, 1997. ,
DOI : 10.1016/S1088-467X(97)00008-5
The feature selection problem: Traditional methods and a new algorithm, Proc. Conference on Artificial Intelligence, pp.129-134, 1992. ,
A Branch and Bound Algorithm for Feature Subset Selection, IEEE Transactions on Computers, vol.26, issue.9, pp.917-922, 1977. ,
DOI : 10.1109/TC.1977.1674939
Toward optimal feature selection, Proc.of the International Conference on Machine Learning, pp.284-292, 1996. ,
Apprentissage et Diagnostic de Systèmes Complexe: Réseaux de Neurones et Réseaux Bayésiens, Université de Paris, vol.6, 1998. ,
A Comparative Evaluation of Sequential Feature Selection Algorithms, Proc. of the 5th International Workshop on Artificial Intelligence and Statistics, pp.1-7, 1995. ,
DOI : 10.1007/978-1-4612-2404-4_19
ClassAdd, une procédure de sélection de variables basée sur une troncature k additive de l'information mutuelle et sur une Classification Ascendante Hiérarchique en prétraitement, Laboratoire d'Informatique de Nantes Atlantique, 2009. ,
Feature Selection for Knowledge Discovery and Data Mining, 1998. ,
DOI : 10.1007/978-1-4615-5689-3
Irrelevant Features and the Subset Selection Problem, Proc. of the Conference on Machine Learning, pp.121-129, 1994. ,
DOI : 10.1016/B978-1-55860-335-6.50023-4
Selection of relevant features in machine learning, Proc. AAAI Fall Symposium on Relevance, pp.140-144, 1994. ,
FEATURE SELECTION WITH NEURAL NETWORKS, Behaviormetrika, vol.26, issue.1, pp.145-166, 1999. ,
DOI : 10.2333/bhmk.26.145
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.54.4570
Elements of information theory, Wiley Series in telecommunications and Signal Processing, 2006. ,
A Mathematical Theory of Communication, Bell System Technical Journal, vol.27, issue.3, pp.379-423, 1948. ,
DOI : 10.1002/j.1538-7305.1948.tb01338.x
Multivariate Information Transmission, IEEE Trans. Information Theory, vol.4, issue.4, pp.93-111, 1954. ,
Dependence balance bounds for single-output two-way channels, IEEE Transactions on Information Theory, vol.35, issue.1, pp.44-53, 1989. ,
DOI : 10.1109/18.42175
Transmission of Information: A Statistical Theory of Communications, American Journal of Physics, vol.29, issue.11, 1961. ,
DOI : 10.1119/1.1937609
Multiple mutual informations and multiple interactions in frequency data, Information and Control, vol.46, issue.1, pp.26-45, 1980. ,
DOI : 10.1016/S0019-9958(80)90478-7
Relevant Feature Selection for Audio-Visual Speech Recognition, 2007 IEEE 9th Workshop on Multimedia Signal Processing, pp.179-182, 2007. ,
DOI : 10.1109/MMSP.2007.4412847
Probability of error, equivocation, and the Chernoff bound, IEEE Transactions on Information Theory, vol.16, issue.4, pp.368-372, 1970. ,
DOI : 10.1109/TIT.1970.1054466
Using mutual information for selecting features in supervised neural net learning, IEEE Transactions on Neural Networks, vol.5, issue.4, pp.537-550, 1994. ,
DOI : 10.1109/72.298224
A New Perspective for Information Theoretic Feature Selection, Proc. of the 12th International Conference on Artificial Intelligence and Statistics (AISTATS), pp.49-56, 2009. ,
Information Theoretic Feature Extraction for Audio-Visual Speech Recognition, IEEE Transactions on Signal Processing, vol.57, issue.12, pp.4765-4776, 2009. ,
DOI : 10.1109/TSP.2009.2026513
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.172.4247
Feature analysis for automatic speech reading, Proc. Workshop on Multimedia Signal Processing, pp.625-630, 2001. ,
Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.27, issue.8, pp.1226-1238, 2005. ,
DOI : 10.1109/TPAMI.2005.159
Feature selection based on joint mutual information, Advances in Intelligent Data Analysis (AIDA) and Computational Intelligent Methods and Application (CIMA), 1999. ,
Input feature selection for classification problems, IEEE Transactions on Neural Networks, vol.13, issue.1, pp.143-159, 2002. ,
DOI : 10.1109/72.977291
Object recognition with informative features and linear classification, Proceedings Ninth IEEE International Conference on Computer Vision, pp.281-288, 2003. ,
DOI : 10.1109/ICCV.2003.1238356
Fast Binary Feature Selection with Conditional Mutual Information, Machine Learning Research, vol.5, pp.1531-1555, 2004. ,
Conditional Infomax Learning: An Integrated Framework for Feature Extraction and Fusion, Proc. European Conference on Computer Vision, pp.68-82, 2006. ,
DOI : 10.1007/11744023_6
Relevance measures for subset variable selection in regression problems based on -additive mutual information, Computational Statistics & Data Analysis, vol.49, issue.4, pp.1205-1227, 2005. ,
DOI : 10.1016/j.csda.2004.07.026
URL : https://hal.archives-ouvertes.fr/hal-00442569
On the Foundations of Combinatorial Theory I. Theory of Mobius Functions, Probability Theory and Related Fields, pp.340-368, 1964. ,
Selecting input variables using mutual information and nonparametric density estimation, Proc. of International Symposium on Artificial Neural Networks (ISANN'94), pp.42-50, 1994. ,
Relevance Approach to Feature Subset Selection, Feature Extraction, Construction and Selection, vol.453, pp.85-99, 1998. ,
DOI : 10.1007/978-1-4615-5725-8_6
Distribution of mutual information from complete and incomplete data, Computational Statistics & Data Analysis, vol.48, issue.3, pp.633-657, 2005. ,
DOI : 10.1016/j.csda.2004.03.010
Information-theoretic feature selection for functional data classification, Neurocomputing, vol.72, issue.16-18, pp.16-18, 2009. ,
DOI : 10.1016/j.neucom.2008.12.035
Feature Selection Based on Mutual Information for Language Recognition, 2009 2nd International Congress on Image and Signal Processing, pp.1-4, 2009. ,
DOI : 10.1109/CISP.2009.5303829
Using mutual information to design, classspecific phone recognizers, Proc. Eurospeech ,
Relevance of time???frequency features for phonetic and speaker-channel classification, Speech Communication, vol.31, issue.1, pp.35-50, 2000. ,
DOI : 10.1016/S0167-6393(00)00007-8
Mutual-information-based registration of medical images: a survey, IEEE Transactions on Medical Imaging, vol.22, issue.8, pp.986-1004, 2003. ,
DOI : 10.1109/TMI.2003.815867
Application of the mutual information criterion for feature selection in computer-aided diagnosis, Medical Physics, vol.26, issue.12, pp.2394-2402, 2001. ,
DOI : 10.1118/1.1418724
Mutual information theory for biomedical applications: Estimation of three protein-adsorbed dialysis membranes, Applied Surface Science, vol.252, issue.19, pp.6697-6701, 2006. ,
DOI : 10.1016/j.apsusc.2006.02.140
On estimation of entropy and mutual information of continuous distributions, Signal Processing, vol.16, issue.3, pp.233-248, 1989. ,
DOI : 10.1016/0165-1684(89)90132-1
Estimation of the information by an adaptive partitioning of the observation space, IEEE Transactions on Information Theory, vol.45, issue.4, pp.1315-1321, 1999. ,
DOI : 10.1109/18.761290
Utilisation d'approches probabilistes basées sur les critères entropiques pour la recherche d'informations sur supports multimédia, 2008. ,
Estimation of entropy and other functionals of a multivariate density, Annals of the Institute of Statistical Mathematics, vol.2, issue.4, pp.683-697, 1989. ,
DOI : 10.1007/BF00057735
Density Estimation for Statistics and Data Analysis, 1986. ,
DOI : 10.1007/978-1-4899-3324-9
Estimation of mutual information using kernel density estimators, Physical Review E, vol.52, issue.3, pp.2318-2321, 1995. ,
DOI : 10.1103/PhysRevE.52.2318
Textural feature selection by joint mutual information based on Gaussian mixture model for multispectral image classification, Pattern Recognition Letters, vol.31, issue.10, pp.1168-1174, 2010. ,
DOI : 10.1016/j.patrec.2009.11.010
A statistic to estimate the variance of the histogram-based mutual information estimator based on dependent pairs of observations, Signal Processing, vol.75, issue.1, pp.51-63, 1999. ,
DOI : 10.1016/S0165-1684(98)00224-2
Time delay estimation in non-linear systems using average amount of mutual information analysis, Signal Processing, vol.4, issue.2-3, pp.139-153, 1982. ,
DOI : 10.1016/0165-1684(82)90017-2
Improving Accuracy and Efficiency of Registration by Mutual Information using Sturges Histogram Rule, Proc. Medical Image Understanding and Analysis, pp.26-30, 2007. ,
Correcting for the Sampling Bias Problem in Spike Train Information Measures, Journal of Neurophysiology, vol.98, issue.3, pp.1064-1072, 2007. ,
DOI : 10.1152/jn.00559.2007
The Choice of a Class Interval, Journal of the American Statistical Association, vol.21, issue.153, pp.65-66, 1926. ,
DOI : 10.1080/01621459.1926.10502161
On optimal and data-based histograms, Biometrika, vol.66, issue.3, pp.605-610, 1979. ,
DOI : 10.1093/biomet/66.3.605
On the maximum deviation between the histogram and the underlying density, Zeitschrift fur Wahrscheinlichkeitstheorie und verwandte Gebiete, pp.139-167, 1981. ,
DOI : 10.1007/BF00531558
On the estimation of entropy, Annals of the Institute of Statistical Mathematics, vol.38, issue.1, pp.69-88, 1993. ,
DOI : 10.1007/BF00773669
Estimating Mutual Information Using Gaussian Mixture Model for Feature Ranking and Selection, Proc. International Joint Conference on Neural Networks, pp.5034-5039, 2006. ,
A Method for Selecting the Bin Size of a Time Histogram, Neural Computation, vol.87, issue.3, pp.1503-1527, 2007. ,
DOI : 10.1016/S0303-2647(02)00087-4
Image Registration of TerraSAR-X Data using Different Information Measures, IGARSS 2008, 2008 IEEE International Geoscience and Remote Sensing Symposium, pp.419-422, 2008. ,
DOI : 10.1109/IGARSS.2008.4779747
On Estimating Mutual Information for Feature Selection, Proc. ICANN, pp.362-367, 2010. ,
DOI : 10.1007/978-3-642-15819-3_48
Fundamentals of Probability and Statistics for Engineers, 2004. ,
Finite Mixture Models, 2000. ,
DOI : 10.1002/0471721182
Robust Analysis and Weighting on MFCC Components for Speech Recognition and Speaker Identification, Multimedia and Expo, 2007 IEEE International Conference on, pp.188-191, 2007. ,
DOI : 10.1109/ICME.2007.4284618
Static and Dynamic Spectral Features: Their Noise Robustness and Optimal Weights for ASR, IEEE Transactions on Audio, Speech and Language Processing, vol.15, issue.3, pp.1087-1097, 2007. ,
DOI : 10.1109/TASL.2006.885932
Débruitage perceptuel de la parole, Ecole Nationale Supérieure des Télécommunications de Bretagne Thèse de Doctorat, 2009. ,
An efficient speaker-independent automatic speech recognition by simulation of properties of humain auditory perception, Proc. of the IEEE Conference on ICASSP, pp.1159-1162, 1987. ,
Auditory Patterns, Reviews of Modern Physics, vol.12, issue.1, pp.47-65, 1940. ,
DOI : 10.1103/RevModPhys.12.47
A re-determination of the equal-loudness relations for pure tones, British Journal of Applied Physics, vol.7, issue.5, pp.166-181, 1956. ,
DOI : 10.1088/0508-3443/7/5/302
On the psychophysical law., Psychological Review, vol.64, issue.3, pp.153-181, 1957. ,
DOI : 10.1037/h0046162
Utilisation d'un modèle d'audition et de connaissances phonétiques en reconnaissance automatique de la parole, Traitement du signal, vol.7, issue.4, pp.275-284, 1990. ,