1 citations · 1 across the 2 of their papers we have counts for
3 papers
ConceptCaps: a Distilled Concept Dataset for Interpretability in Music Models
Bruno Sienkiewicz, Łukasz Neumann, Mateusz Modrzejewski
Concept-based interpretability methods like TCAV require clean, well-separated positive and negative examples for each concept. Existing music datasets lack this structure: tags ar…
Evaluating Fake Music Detection Performance Under Audio Augmentations
Tomasz Sroka, Tomasz Wężowicz, Dominik Sidorczuk +1
With the rapid advancement of generative audio models, distinguishing between human-composed and generated music is becoming increasingly challenging. As a response, models for det…
Frechet Music Distance: A Metric For Generative Symbolic Music Evaluation
Jan Retkowski, Jakub Stępniak, Mateusz Modrzejewski
In this paper we introduce the Frechet Music Distance (FMD), a novel evaluation metric for generative symbolic music models, inspired by the Frechet Inception Distance (FID) in com…