2 papers
eess.AS2021
Multi-input Architecture and Disentangled Representation Learning for Multi-dimensional Modeling of Music Similarity
Sebastian Ribecky, Jakob Abeßer, Hanna Lukashevich
In the context of music information retrieval, similarity-based approaches are useful for a variety of tasks that benefit from a query-by-example scenario. Music however, naturally…
cs.SD2021
DESED-FL and URBAN-FL: Federated Learning Datasets for Sound Event Detection
David S. Johnson, Wolfgang Lorenz, Michael Taenzer +4
Research on sound event detection (SED) in environmental settings has seen increased attention in recent years. The large amounts of (private) domestic or urban audio data needed r…