| Sound event detection in domestic environments with weakly labeled data and soundscape synthesis N Turpault, R Serizel, AP Shah, J Salamon Workshop on Detection and Classification of Acoustic Scenes and Events, 2019 | 307 | 2019 |
| Large-scale weakly labeled semi-supervised sound event detection in domestic environments R Serizel, N Turpault, H Eghbal-Zadeh, AP Shah arXiv preprint arXiv:1807.10501, 2018 | 173 | 2018 |
| Sound event detection in synthetic domestic environments R Serizel, N Turpault, A Shah, J Salamon ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 115 | 2020 |
| What’s all the fuss about free universal sound separation data? S Wisdom, H Erdogan, DPW Ellis, R Serizel, N Turpault, E Fonseca, ... ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 94 | 2021 |
| Training sound event detection on a heterogeneous dataset N Turpault, R Serizel arXiv preprint arXiv:2007.03931, 2020 | 80 | 2020 |
| Improving sound event detection in domestic environments using sound separation N Turpault, S Wisdom, H Erdogan, J Hershey, R Serizel, E Fonseca, ... arXiv preprint arXiv:2007.03932, 2020 | 67 | 2020 |
| Sound event detection and separation: a benchmark on desed synthetic soundscapes N Turpault, R Serizel, S Wisdom, H Erdogan, JR Hershey, E Fonseca, ... ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 40 | 2021 |
| Improving sound event detection metrics: insights from dcase 2020 G Ferroni, N Turpault, J Azcarreta, F Tuveri, R Serizel, Ç Bilen, ... ICASSP 2021-2021 IEEE international conference on acoustics, speech and …, 2021 | 29 | 2021 |
| Semi-supervised triplet loss based learning of ambient audio embeddings N Turpault, R Serizel, E Vincent ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 28 | 2019 |
| The impact of non-target events in synthetic soundscapes for sound event detection F Ronchini, R Serizel, N Turpault, S Cornell arXiv preprint arXiv:2109.14061, 2021 | 27 | 2021 |
| Sound event detection from partially annotated data: Trends and challenges R Serizel, N Turpault IcETRAN conference, 2019 | 25 | 2019 |
| Limitations of weak labels for embedding and tagging N Turpault, R Serizel, E Vincent ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 20 | 2020 |
| Description and analysis of novelties introduced in dcase task 4 2022 on the baseline system F Ronchini, S Cornell, R Serizel, N Turpault, E Fonseca, DPW Ellis arXiv preprint arXiv:2210.07856, 2022 | 12 | 2022 |
| Automatic tongue delineation from mri images with a convolutional neural network approach K Isaieva, Y Laprie, N Turpault, A Houssard, J Felblinger, PA Vuissoz Applied Artificial Intelligence 34 (14), 1115-1123, 2020 | 12 | 2020 |
| Analysis of weak labels for sound event tagging N Turpault, R Serizel, E Vincent | 7 | 2021 |
| Performance Above All? Energy Consumption vs. Performance, a Study on Sound Event Detection with Heterogeneous Data R Serizel, S Cornell, N Turpault ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 4 | 2023 |
| Analyse des problématiques liées à la reconnaissance de sons ambiants en environnement réel N Turpault Université de Lorraine, 2021 | 2 | 2021 |
| Performance above all? energy consumption vs. performance for machine listening, a study on dcase task 4 baseline R Serizel, S Cornell, N Turpault | 1 | 2022 |
romain serizelAssociate professor, Université de Lorraine, LORIAVerified email at serizel.net
