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Late multimodal fusion for image and audio music transcription. (arXiv:2204.03063v3 [cs.MM] UPDATED)
Aug. 29, 2022, 1:14 a.m. | María Alfaro-Contreras (1), Jose J. Valero-Mas (1), José M. Iñesta (1), Jorge Calvo-Zaragoza (1) ((1) Instituto Universitario de Invest
cs.CV updates on arXiv.org arxiv.org
Music transcription, which deals with the conversion of music sources into a
structured digital format, is a key problem for Music Information Retrieval
(MIR). When addressing this challenge in computational terms, the MIR community
follows two lines of research: music documents, which is the case of Optical
Music Recognition (OMR), or audio recordings, which is the case of Automatic
Music Transcription (AMT). The different nature of the aforementioned input
data has conditioned these fields to develop modality-specific frameworks.
However, their …
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