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Contrastive Audio-Language Learning for Music. (arXiv:2208.12208v1 [cs.SD])
Aug. 26, 2022, 1:14 a.m. | Ilaria Manco, Emmanouil Benetos, Elio Quinton, György Fazekas
cs.CL updates on arXiv.org arxiv.org
As one of the most intuitive interfaces known to humans, natural language has
the potential to mediate many tasks that involve human-computer interaction,
especially in application-focused fields like Music Information Retrieval. In
this work, we explore cross-modal learning in an attempt to bridge audio and
language in the music domain. To this end, we propose MusCALL, a framework for
Music Contrastive Audio-Language Learning. Our approach consists of a
dual-encoder architecture that learns the alignment between pairs of music
audio and …
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