| DCASE 2016 Sound Event Detection System Based on Convolutional Neural Network A Gorin, N Makhazhanov, N Shmyrev https://www.researchgate.net/publication …, 2016 | 43 | 2016 |
| Conversational telephone speech recognition for Lithuanian R Lileikytė, L Lamel, JL Gauvain, A Gorin Computer Speech & Language 49, 71-82, 2018 | 24 | 2018 |
| Lithuanian Broadcast Speech Transcription Using Semi-supervised Acoustic Model Training R Lileikytė, A Gorin, L Lamel, JL Gauvain, T Fraga-Silva Proc. SLTU, 107-113, 2016 | 21* | 2016 |
| Machine Translation Based Data Augmentation For Cantonese Keyword Spotting G Huang, A Gorin, JL Gauvain, L Lamel ICASSP, 2016 | 18 | 2016 |
| Language Model Data Augmentation for Keyword Spotting in Low-Resourced Training Conditions A Gorin, R Lileikytė, G Huang, L Lamel, JL Gauvain, A Laurent Interspeech, 2016 | 14 | 2016 |
| An investigation into language model data augmentation for low-resourced STT and KWS G Huang, TF da Silva, L Lamel, JL Gauvain, A Gorin, A Laurent, ... ICASSP, 5790-5794, 2017 | 9 | 2017 |
| Investigating stranded GMM for improving automatic speech recognition A Gorin, D Jouvet, E Vincent, D Tran 2014 4th Joint Workshop on Hands-free Speech Communication and Microphone …, 2014 | 6 | 2014 |
| Class-based speech recognition using a maximum dissimilarity criterion and a tolerance classification margin A Gorin, D Jouvet 2012 IEEE Spoken Language Technology Workshop (SLT), 91-96, 2012 | 6 | 2012 |
| Efficient constrained parametrization of GMM with class-based mixture weights for Automatic Speech Recognition A Gorin, D Jouvet The 6th Language and Technology Conference (LTC), 550-554, 2013 | 5 | 2013 |
| Exploitation d’une marge de tolérance de classification pour améliorer l’apprentissage de modèles acoustiques de classes en reconnaissance de la parole (Exploitation of a … D Jouvet, A Gorin, N Vinuesa Proceedings of the Joint Conference JEP-TALN-RECITAL 2012, volume 1: JEP …, 2012 | 5 | 2012 |
| " This is Houston. Say again, please". The Behavox system for the Apollo-11 Fearless Steps Challenge (phase II) A Gorin, D Kulko, S Grima, A Glasman INTERSPEECH, 2612-2616, 2020 | 4 | 2020 |
| Self-supervised learning for infant cry analysis A Gorin, C Subakan, S Abdoli, J Wang, S Latremouille, CC Onu IEEE ICASSP workshop Self-supervision in Audio, Speech and Beyond, 2023 | 3 | 2023 |
| Structured GMM based on unsupervised clustering for recognizing adult and child speech A Gorin, D Jouvet Statistical Language and Speech Processing: Second International Conference …, 2014 | 3 | 2014 |
| CryCeleb: A Speaker Verification Dataset Based on Infant Cry Sounds D Budaghyan, CC Onu, A Gorin, C Subakan, D Precup ICASSP, 2024 | 2 | 2024 |
| Continual learning using lattice-free mmi for speech recognition H Hadian, A Gorin ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 2 | 2022 |
| On Improving Speech Recognition and Keyword Spotting With Automatically Generated Morphological Units A Gorin, L Lamel, JL Gauvain, T Fraga-Silva The 7th Language and Technology Conference (LTC), 2015 | 2 | 2015 |
| Acoustic model structuring for improving automatic speech recognition performance A Gorin Université de Lorraine, 2014 | 2 | 2014 |
| Component structuring and trajectory modeling for speech recognition A Gorin, D Jouvet Interspeech, 2014 | 2 | 2014 |
| Modélisation de trajectoires et de classes de locuteurs pour la reconnaissance de voix d'enfants et d'adultes A Gorin, D Jouvet XXXème édition des Journées d'Etudes sur la Parole, 2014 | 2 | 2014 |
| Learning domain-invariant classifiers for infant cry sounds CC Onu, HK Sheetha, A Gorin, D Precup arXiv preprint arXiv:2312.00231, 2023 | | 2023 |
Jean-Luc GauvainLIMSI-CNRSVerified email at limsi.fr
