GLAD: Groningen Lightweight Authorship Detection. M Hürlimann, B Weck, E van den Berg, S Suster, M Nissim CLEF (working notes), 2015 | 43 | 2015 |
Evaluating Off-the-Shelf Machine Listening and Natural Language Models for Automated Audio Captioning B Weck, X Favory, K Drossos, X Serra Proceedings of the Detection and Classification of Acoustic Scenes and …, 2021 | 9 | 2021 |
The Song Describer Dataset: a Corpus of Audio Captions for Music-and-Language Evaluation I Manco, B Weck, SH Doh, M Won, Y Zhang, D Bogdanov, Y Wu, K Chen, ... arXiv preprint arXiv:2311.10057, 2023 | 6 | 2023 |
Song describer: a platform for collecting textual descriptions of music recordings I Manco, B Weck, P Tovstogan, M Won, D Bogdanov Proceedings of the 23nd International Society for Music Information …, 2022 | 5 | 2022 |
Data leakage in cross-modal retrieval training: A case study B Weck, X Serra ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 4 | 2023 |
Aligning audio and text embeddings for the language-based audio retrieval task of the DCASE challenge 2022 B Weck, MP Fernández, H Kirchhoff, X Serra DCASE2022 Challenge, Tech. Rep, 2022 | 3 | 2022 |
Matching text and audio embeddings: Exploring transfer-learning strategies for language-based audio retrieval B Weck, MP Fernández, H Kirchhoff, X Serra arXiv preprint arXiv:2210.02833, 2022 | 2 | 2022 |
Wikimute: A web-sourced dataset of semantic descriptions for music audio B Weck, H Kirchhoff, P Grosche, X Serra International Conference on Multimedia Modeling, 42-56, 2024 | 1 | 2024 |
Assessing the impact of manual corrections in the Groningen Meaning Bank B Weck Univerzita Karlova, Matematicko-fyzikální fakulta, 2016 | 1 | 2016 |