Abstract
Automated methods and human annotation are being extensively utilized to scale up modern classification systems. Processes though such as music transcription, oppose certain challenges due to the complexity of the domain and the expertise needed to read and process music scores. In this work, we examine how music transcription could benefit from systems that utilize hybrid annotation workflows, where automated methods are being trained, evaluated or have their output fixed by crowdworkers, using microtask designs. We argue that through careful task design utilizing microtask crowdsourcing principles, the general crowd can meaningfully contribute to such hybrid transcription systems.
Original language | English |
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Title of host publication | 3rd International Workshop on Reading Music Systems |
Editors | Jorge Calvo-Zaragoza, Alexander Pacha |
Pages | 23- |
Publication status | Published - 2021 |
Event | 3rd International Workshop on Reading Music Systems - Alicante, Spain Duration: 23 Jul 2021 → 23 Jul 2021 |
Conference
Conference | 3rd International Workshop on Reading Music Systems |
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Country/Territory | Spain |
City | Alicante |
Period | 23/07/21 → 23/07/21 |