| Predicting how it sounds: Re-ranking dialogue prompts based on TTS quality for adaptive spoken dialogue systems C Boidin, V Rieser, L Plas, O Lemon, J Chevelu Tenth Annual Conference of the International Speech Communication Association, 2009 | 28* | 2009 |
| Introduction of a new paraphrase generation tool based on Monte-Carlo sampling J Chevelu, T Lavergne, Y Lepage, T Moudenc Proceedings of the ACL-IJCNLP 2009 Conference Short Papers, 249-252, 2009 | 21 | 2009 |
| The IRISA Text-To-Speech System for the Blizzard Challenge 2016 P Alain, J Chevelu, D Guennec, G Lecorvé, D Lolive | 19 | 2016 |
| Correcting for selection bias via cross-validation in the classification of microarray data GJ McLachlan, J Chevelu, J Zhu Beyond Parametrics in Interdisciplinary Research: Festschrift in Honor of …, 2008 | 17 | 2008 |
| How to compare tts systems: A new subjective evaluation methodology focused on differences J Chevelu, D Lolive, SL Maguer, D Guennec Sixteenth Annual Conference of the International Speech Communication …, 2015 | 15 | 2015 |
| ROOTS: a toolkit for easy, fast and consistent processing of large sequential annotated data collections. J Chevelu, G Lecorvé, D Lolive LREC, 619-626, 2014 | 15 | 2014 |
| Comparing Set-Covering Strategies for Optimal Corpus Design. J Chevelu, N Barbot, O Boeffard, A Delhay LREC, 2008 | 15 | 2008 |
| Lagrangian relaxation for optimal corpus design. J Chevelu, N Barbot, O Boeffard, A Delhay SSW, 211-216, 2007 | 14 | 2007 |
| Lexicons or phrase tables? An investigation in sampling-based multilingual alignment A Lardilleux, J Chevelu, Y Lepage, G Putois, J Gosme | 11 | 2009 |
| Do not build your TTS training corpus randomly J Chevelu, D Lolive 2015 23rd European Signal Processing Conference (EUSIPCO), 350-354, 2015 | 10 | 2015 |
| Large linguistic corpus reduction with SCP algorithms N Barbot, O Boëffard, J Chevelu, A Delhay Computational Linguistics 41 (3), 355-383, 2015 | 8 | 2015 |
| Corpus Design Using Convolutional Auto-Encoder Embeddings for Audio-Book Synthesis. M Shamsi, D Lolive, N Barbot, J Chevelu Interspeech, 1531-1535, 2019 | 5 | 2019 |
| Investigating the relation between voice corpus design and hybrid synthesis under reduction constraint M Shamsi, D Lolive, N Barbot, J Chevelu International Conference on Statistical Language and Speech Processing, 162-173, 2019 | 4 | 2019 |
| The true score of statistical paraphrase generation J Chevelu, G Putois, Y Lepage Coling 2010: Posters, 144-152, 2010 | 4 | 2010 |
| The IRISA text-to-speech system for the Blizzard challenge 2017 D Lolive, P Alain, N Barbot, J Chevelu, G Lecorvé, C Simon, M Tahon | 3 | 2017 |
| Corpus design for expressive speech: impact of the utterance length M Shamsi, J Chevelu, N Barbot, D Lolive 10th International Conference on Speech Prosody 2020, 955-959, 2020 | 2 | 2020 |
| Paraphrase generation to improve text-to-speech synthesis G Putois, J Chevelu, C Boidin Eleventh Annual Conference of the International Speech Communication Association, 2010 | 2 | 2010 |
| Script selection using convolutional auto-encoder for tts speech corpus M Shamsi, D Lolive, N Barbot, J Chevelu International Conference on Speech and Computer, 423-432, 2019 | 1 | 2019 |
| Construction conjointe d'un corpus et d'un classifieur pour les registres de langue en français G Lecorvé, H Ayats, B Fournier, J Mekki, J Chevelu, D Battistelli, N Béchet | 1 | 2018 |
| Defining a Global Adaptive Duration Target Cost for Unit Selection Speech Synthesis D Guennec, J Chevelu, D Lolive International Conference on Text, Speech, and Dialogue, 149-157, 2015 | 1 | 2015 |
Damien LoliveUniv Rennes, CNRS, IRISAAdresse e-mail validée de irisa.fr
