Christian Raymond
Christian Raymond
Associate Professor, INSA Rennes
Verified email at - Homepage
Cited by
Cited by
Generative and discriminative algorithms for spoken language understanding
C Raymond, G Riccardi
Interspeech 2007-8th Annual Conference of the International Speech …, 2007
Comparing stochastic approaches to spoken language understanding in multiple languages
S Hahn, M Dinarelli, C Raymond, F Lefevre, P Lehnen, R De Mori, ...
IEEE Transactions on Audio, Speech, and Language Processing 19 (6), 1569-1583, 2010
On the use of finite state transducers for semantic interpretation
C Raymond, F Bechet, R De Mori, G Damnati
Speech Communication 48 (3-4), 288-304, 2006
Is it time to switch to Word Embedding and Recurrent Neural Networks for Spoken Language Understanding?
V Vukotic, C Raymond, G Gravier
Interspeech, 2015
CRF-based combination of contextual features to improve a posteriori word-level confidence measures
J Fayolle, F Moreau, C Raymond, G Gravier, P Gros
Eleventh Annual Conference of the International Speech Communication Association, 2010
One-step time-dependent future video frame prediction with a convolutional encoder-decoder neural network
V Vukotić, SL Pintea, C Raymond, G Gravier, JC Van Gemert
International conference on image analysis and processing, 140-151, 2017
A Comparison of Various Methods for Concept Tagging for Spoken Language Understanding.
S Hahn, P Lehnen, C Raymond, H Ney
LREC, 2008
Bidirectional joint representation learning with symmetrical deep neural networks for multimodal and crossmodal applications
V Vukotić, C Raymond, G Gravier
Proceedings of the 2016 ACM on International Conference on Multimedia …, 2016
Conceptual decoding from word lattices: application to the spoken dialogue corpus media
C Servan, C Raymond, F Béchet, P Nocéra
The Ninth International Conference on Spoken Language Processing …, 2006
Reconnaissance robuste d'entités nommées sur de la parole transcrite automatiquement
C Raymond, J Fayolle
Conférence Traitement automatique des langues naturelles, TALN'10, 2010
Multimodal and crossmodal representation learning from textual and visual features with bidirectional deep neural networks for video hyperlinking
V Vukotić, C Raymond, G Gravier
Proceedings of the 2016 ACM workshop on Vision and Language Integration …, 2016
Boosting bonsai trees for efficient features combination: application to speaker role identification
A Laurent, N Camelin, C Raymond
Interspeech, 2014
A step beyond local observations with a dialog aware bidirectional GRU network for Spoken Language Understanding
V Vukotić, C Raymond, G Gravier
Interspeech, 2016
Conceptual decoding for spoken dialog systems.
Y Esteve, C Raymond, F Béchet, R De Mori
Spoken language understanding with kernels for syntactic/semantic structures
A Moschitti, G Riccardi, C Raymond
2007 IEEE Workshop on Automatic Speech Recognition & Understanding (ASRU …, 2007
Belief confirmation in spoken dialog systems using confidence measures
C Raymond, Y Esteve, F Béchet, R De Mori, G Damnati
2003 IEEE Workshop on Automatic Speech Recognition and Understanding (IEEE …, 2003
On the use of machine translation for spoken language understanding portability
C Servan, N Camelin, C Raymond, F Béchet, R De Mori
2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010
Standoff coordination for multi-tool annotation in a dialogue corpus
KJ Rodriguez, S Dipper, M Götze, M Poesio, G Riccardi, C Raymond, ...
Proceedings of the Linguistic Annotation Workshop, 148-155, 2007
Is ATIS too shallow to go deeper for benchmarking Spoken Language Understanding models?
F Béchet, C Raymond
InterSpeech 2018, 1-5, 2018
Exploiting multimodality in video hyperlinking to improve target diversity
R Bois, V Vukotić, AR Simon, R Sicre, C Raymond, P Sébillot, G Gravier
International Conference on Multimedia Modeling, 185-197, 2017
The system can't perform the operation now. Try again later.
Articles 1–20