Frechet Music Distance: A Metric For Generative Symbolic Music Evaluation

Fuente: arXiv
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Main Authors: Retkowski, Jan, Stępniak, Jakub, Modrzejewski, Mateusz
Format: Preprint
Published: 2024
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author Retkowski, Jan
Stępniak, Jakub
Modrzejewski, Mateusz
author_facet Retkowski, Jan
Stępniak, Jakub
Modrzejewski, Mateusz
contents 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 computer vision and Frechet Audio Distance (FAD) in generative audio. FMD calculates the distance between distributions of reference and generated symbolic music embeddings, capturing abstract musical features. We validate FMD across several datasets and models. Results indicate that FMD effectively differentiates model quality, providing a domain-specific metric for evaluating symbolic music generation, and establishing a reproducible standard for future research in symbolic music modeling.
format Preprint
id arxiv_https___arxiv_org_abs_2412_07948
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Frechet Music Distance: A Metric For Generative Symbolic Music Evaluation
Retkowski, Jan
Stępniak, Jakub
Modrzejewski, Mateusz
Sound
Artificial Intelligence
Multimedia
Audio and Speech Processing
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 computer vision and Frechet Audio Distance (FAD) in generative audio. FMD calculates the distance between distributions of reference and generated symbolic music embeddings, capturing abstract musical features. We validate FMD across several datasets and models. Results indicate that FMD effectively differentiates model quality, providing a domain-specific metric for evaluating symbolic music generation, and establishing a reproducible standard for future research in symbolic music modeling.
title Frechet Music Distance: A Metric For Generative Symbolic Music Evaluation
topic Sound
Artificial Intelligence
Multimedia
Audio and Speech Processing
url https://arxiv.org/abs/2412.07948