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Nicolas Turpault
Nicolas Turpault
Sonaide
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Title
Cited by
Cited by
Year
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
3242019
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
1762018
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
1232020
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
992021
Training sound event detection on a heterogeneous dataset
N Turpault, R Serizel
arXiv preprint arXiv:2007.03931, 2020
822020
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
682020
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
412021
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
312021
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
302019
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
292021
Sound event detection from partially annotated data: Trends and challenges
R Serizel, N Turpault
IcETRAN conference, 2019
252019
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
202020
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
132022
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
132020
Analysis of weak labels for sound event tagging
N Turpault, R Serizel, E Vincent
72021
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
52023
Analyse des problématiques liées à la reconnaissance de sons ambiants en environnement réel
N Turpault
Université de Lorraine, 2021
22021
Performance above all? energy consumption vs. performance for machine listening, a study on dcase task 4 baseline
R Serizel, S Cornell, N Turpault
12022
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