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Late multimodal fusion for image and audio music transcription
[article]
2022
arXiv
pre-print
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
arXiv:2204.03063v3
fatcat:r5ji3cdsbbgwvoeavvy6ei445i