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Semi-supervised Triplet Loss Based Learning of Ambient Audio Embeddings.

, , and . ICASSP, page 760-764. IEEE, (2019)

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Sound Event Detection in Synthetic Domestic Environments., , , and . ICASSP, page 86-90. IEEE, (2020)What's All the FUSS About Free Universal Sound Separation Data?, , , , , , , , and . CoRR, (2020)Semi-supervised Triplet Loss Based Learning of Ambient Audio Embeddings., , and . ICASSP, page 760-764. IEEE, (2019)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)Sound Event Detection in Domestic Environments with Weakly Labeled Data and Soundscape Synthesis., , , and . DCASE, page 253-257. (2019)The Impact of Non-Target Events in Synthetic Soundscapes for Sound Event Detection., , , and . DCASE, page 115-119. (2021)