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 …

arxiv audio fusion image multimodal music transcription

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Senior Business Intelligence Developer / Analyst

@ Transamerica | Work From Home, USA

Data Analyst (All Levels)

@ Noblis | Bethesda, MD, United States