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Scriptoria

A Crowd-powered Music Transcription System

Conference Paper (2022)
Authors

I.P. Samiotis (TU Delft - Web Information Systems)

Christoph Lofi (TU Delft - Web Information Systems)

Shaad Alaka (Student TU Delft)

Cynthia C.S. Liem (Multimedia Computing)

Alessandro Bozzon (TU Delft - Human-Centred Artificial Intelligence)

Research Group
Web Information Systems
Copyright
© 2022 I.P. Samiotis, C. Lofi, Shaad Alaka, C.C.S. Liem, A. Bozzon
To reference this document use:
https://doi.org/10.1145/3487553.3524252
More Info
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Publication Year
2022
Language
English
Copyright
© 2022 I.P. Samiotis, C. Lofi, Shaad Alaka, C.C.S. Liem, A. Bozzon
Related content
Research Group
Web Information Systems
Pages (from-to)
256-259
ISBN (print)
978-1-4503-9130-6
DOI:
https://doi.org/10.1145/3487553.3524252
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Abstract

In this demo we present Scriptoria, an online crowdsourcing system to tackle the complex transcription process of classical orchestral scores. The system’s requirements are based on experts’ feedback from classical orchestra members. The architecture enables an end- to-end transcription process (from PDF to MEI) using a scalable microtask design. Reliability, stability, task and UI design were also evaluated and improved through Focus Group Discussions. Finally, we gathered valuable comments on the transcription process it- self alongside future additions that could greatly enhance current practices in their field.