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Stały URI dla kolekcjihttp://hdl.handle.net/11652/4775

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20231

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Autorsearch.filters.applied.operator.equals: search.filters.author.Modrzejewski, MateuszTematsearch.filters.applied.operator.equals: search.filters.subject.głębokie uczenie się

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  • Pozycja
    Text-to-music Models and Their Evaluation Methods
    (Wydawnictwo Politechniki Łódzkiej, 2023) Modrzejewski, Mateusz; Rokita, Przemysław
    Text-to-music models are a very recent approach to generative music, allowing to generate music based on an abstract, rich description input in natural language. In this paper, we propose guidelines for evaluation in text-to-music models, highlighting the need for musical insight and clear descriptions of perceptual quality upon investigating the metrics of currently developed approaches. We also present a critical analysis of the capabilities and evaluation methods of the pioneering text-to-music models.