David Doukhan
David Doukhan
Institut national de l'audiovisuel
Verified email at ina.fr
Title
Cited by
Cited by
Year
A high-throughput screening approach to discovering good forms of biologically inspired visual representation
N Pinto, D Doukhan, JJ DiCarlo, DD Cox
PLoS Comput Biol 5 (11), e1000579, 2009
3182009
A high-throughput screening approach to discovering good forms of biologically inspired visual representation
N Pinto, D Doukhan, JJ DiCarlo, DD Cox
PLoS Comput Biol 5 (11), e1000579, 2009
3182009
Towards a storytelling humanoid robot
R Gelin, C d'Alessandro, QA Le, O Deroo, D Doukhan, JC Martin, ...
2010 AAAI Fall Symposium Series, 2010
382010
An open-source speaker gender detection framework for monitoring gender equality
D Doukhan, J Carrive, F Vallet, A Larcher, S Meignier
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
282018
Prosodic analysis of a corpus of tales
D Doukhan, A Rilliard, S Rosset, M Adda-Decker, C d'Alessandro
Twelfth Annual Conference of the International Speech Communication Association, 2011
252011
CW_binaural~: A binaural synthesis external for Pure Data
D Doukhan, A Sédès
Puredata International Convention Proceedings, 78, 2009
122009
S4D: Speaker Diarization Toolkit in Python
PA Broux, F Desnous, A Larcher, S Petitrenaud, J Carrive, S Meignier
11*2018
Modelling pause duration as a function of contextual length
D Doukhan, A Rilliard, S Rosset, C d'Alessandro
Thirteenth Annual Conference of the International Speech Communication …, 2012
102012
Ina’s mirex 2018 music and speech detection system
D Doukhan, E Lechapt, M Evrard, J Carrive
Music Information Retrieval Evaluation eXchange (MIREX 2018), 2018
62018
An active learning method for speaker identity annotation in audio recordings
PA Broux, D Doukhan, S Petitrenaud, S Meignier, J Carrive
62016
Describing gender equality in french audiovisual streams with a deep learning approach
D Doukhan, G Poels, Z Rezgui, J Carrive
VIEW Journal of European Television History and Culture 7 (14), 2018
52018
Investigating the use of semi-supervised convolutional neural network models for speech/music classification and segmentation
D Doukhan, J Carrive
52017
Description automatique du taux d’expression des femmes dans les flux télévisuels français
D Doukhan, J Carrive
XXXIIe Journées d’Etudes sur la Parole, 496-504, 2018
42018
Designing french tale corpora for entertaining text to speech synthesis
D Doukhan, A Rilliard, C d'Alessandro, S Rosset, M Adda-Decker
42012
Why is real-world object recognition hard? Establishing honest benchmarks and baselines for object recognition
N Pinto, DD Cox, B Corda, D Doukhan, JJ DiCarlo
Proceedings of the COSYNE 8, 2008
42008
A high-throughput screening approach to discovering good forms of visual representation
DD Cox, N Pinto, D Doukhan, B Corda, JJ DiCarlo
Computational and Systems Neuroscience (COSYNE), 2008
42008
Segmentation et Regroupement en Locuteurs: comment évaluer les corrections humaines
PA Broux, D Doukhan, S Petitrenaud, S Meignier, J Carrive
22018
When audio features reach machine learning
G Peeters, F Cornu, D Doukhan, E Marchetto, R Mignot, K Perros, ...
Machine Learning for Music Discovery Workshop at the 32nd International …, 2015
22015
Estimer automatiquement les différences de représentation existant entre les femmes et les hommes dans les médias
D Doukhan, Z Rezgui, G Poels, J Carrive
12019
Analysing rhythm in ritual discourse in Yucatec Maya using automatic speech alignment
V Vapnarsky, C Barras, C Becquey, D Doukhan, M Adda-Decker, L Lamel
12015
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