3 papers
cs.MM2025
On the Robustness of Cover Version Identification Models: A Study Using Cover Versions from YouTube
Simon Hachmeier, Robert Jäschke
Recent advances in cover song identification have shown great success. However, models are usually tested on a fixed set of datasets which are relying on the online cover song data…
cs.CL2024
A Benchmark and Robustness Study of In-Context-Learning with Large Language Models in Music Entity Detection
Simon Hachmeier, Robert Jäschke
Detecting music entities such as song titles or artist names is a useful application to help use cases like processing music search queries or analyzing music consumption on the we…
cs.MM2024
Leveraging User-Generated Metadata of Online Videos for Cover Song Identification
Simon Hachmeier, Robert Jäschke
YouTube is a rich source of cover songs. Since the platform itself is organized in terms of videos rather than songs, the retrieval of covers is not trivial. The field of cover son…