arXiv Open Access 2024

Frechet Music Distance: A Metric For Generative Symbolic Music Evaluation

Jan Retkowski Jakub Stępniak Mateusz Modrzejewski

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Abstrak

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.

Topik & Kata Kunci

cs.SD cs.AI cs.MM eess.AS

Penulis (3)

Jan Retkowski

Jakub Stępniak

Mateusz Modrzejewski

Format Sitasi

APA MLA BibTeX

Retkowski, J., Stępniak, J., Modrzejewski, M. (2024). Frechet Music Distance: A Metric For Generative Symbolic Music Evaluation. https://arxiv.org/abs/2412.07948

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Informasi Jurnal

Tahun Terbit: 2024
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓