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2021

[WORKSHOP 2021]

15th workshop gRFIA

9th Music Encoding Conference (MEI 2021)

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Alicante, July 19-23

13th international workshop on Machine Learning and Music

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(online) September 18, 2020

Project: Multimodal Transcription of Music Scores

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General info:

Project Co-ordinators: Calvo Zaragoza, Jorge; Pertusa Ibáñez, Antonio Jorge
Funding: Ministerio de Ciencia e Innovación
Reference: PID2020-118447RA-I00
Budget: 193.237 €
Period: from 2021-09-01 to 2024-08-31
Web: https://sites.google.com/view/multiscore-project
Summary:

Optical Music Recognition (OMR) and Automatic Music Transcription (AMT) are the research fields that investigate how to computationally transcribe music score images and audio recordings, respectively, into digital scores. After decades of research, neither AMT nor OMR have lived up to their commitment and remain open challenges, with plenty of room for improvement. MultiScore seeks to unlock the current situation by levering vast amounts of annotated data to apply state-of-the-art technologies in deep neural networks, and also to find intersections and synergies in both research lines that have previously been addressed separately.

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