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arXiv · 2311.09094

Can MusicGen Create Training Data for MIR Tasks?

Nadine Kroher·Helena Cuesta·Aggelos Pikrakis
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Abstract

We are investigating the broader concept of using AI-based generative music systems to generate training data for Music Information Retrieval (MIR) tasks. To kick off this line of work, we ran an initial experiment in which we trained a genre classifier on a fully artificial music dataset created with MusicGen. We constructed over 50 000 genre- conditioned textual descriptions and generated a collection of music excerpts that covers five musical genres. Our preliminary results show that the proposed model can learn genre-specific characteristics from artificial music tracks that generalise well to real-world music recordings.

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BibTeXRIS

Nadine Kroher, Helena Cuesta, Aggelos Pikrakis. 2023-11-15. Can MusicGen Create Training Data for MIR Tasks?. https://arxiv.org/abs/2311.09094

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