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Sound Event Detection in Synthetic Domestic Environments., , , and . ICASSP, page 86-90. IEEE, (2020)Semi-supervised Triplet Loss Based Learning of Ambient Audio Embeddings., , and . ICASSP, page 760-764. IEEE, (2019)What's All the FUSS About Free Universal Sound Separation Data?, , , , , , , , and . CoRR, (2020)Automatic Tongue Delineation from MRI Images with a Convolutional Neural Network Approach., , , , , and . Appl. Artif. Intell., 34 (14): 1115-1123 (2020)Performance Above All? Energy Consumption vs. Performance, a Study on Sound Event Detection with Heterogeneous Data., , and . ICASSP, page 1-5. IEEE, (2023)Improving Sound Event Detection Metrics: Insights from DCASE 2020., , , , , , and . CoRR, (2020)Sound Event Detection and Separation: a Benchmark on Desed Synthetic Soundscapes., , , , , , , and . CoRR, (2020)Analyse des problèmatiques liées à la reconnaissance de sons ambiants en environnement réel. (Analysis of scientific challenges in ambient sound recognition in real environments).. University of Lorraine, Nancy, France, (2021)Large-scale weakly labeled semi-supervised sound event detection in domestic environments., , , and . DCASE, page 19-23. (2018)Training Sound Event Detection on a Heterogeneous Dataset., and . DCASE, page 200-204. (2020)