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
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
Image Analysis and Processing-ICIAP 2017: 19th International Conference …, 2017
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
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
Bidirectional deep architecture for Arabic speech recognition
N Zerari, S Abdelhamid, H Bouzgou, C Raymond
Open Computer Science 9 (1), 92-102, 2019
A Comparison of Various Methods for Concept Tagging for Spoken Language Understanding.
S Hahn, P Lehnen, C Raymond, H Ney
LREC, 2008
A step beyond local observations with a dialog aware bidirectional GRU network for Spoken Language Understanding
V Vukotić, C Raymond, G Gravier
Interspeech, 2016
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
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
Boosting bonsai trees for efficient features combination: application to speaker role identification
A Laurent, N Camelin, C Raymond
Interspeech, 2014
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
Is ATIS too shallow to go deeper for benchmarking Spoken Language Understanding models?
F Béchet, C Raymond
InterSpeech 2018, 1-5, 2018
Conceptual decoding for spoken dialog systems.
Y Esteve, C Raymond, F Béchet, R De Mori
INTERSPEECH, 617-620, 2003
Bi-directional recurrent end-to-end neural network classifier for spoken Arab digit recognition
N Zerari, S Abdelhamid, H Bouzgou, C Raymond
Natural Language and Speech Processing (ICNLSP), 2018 2nd International …, 2018
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
Benchmarking benchmarks: introducing new automatic indicators for benchmarking spoken language understanding corpora
F Béchet, C Raymond
Interspeech, 2019
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