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Scriptoria

A Crowd-powered Music Transcription System

Conference Paper (2022)
Author(s)

Ioannis Petros Samiotis (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Christoph Lofi (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Shaad Alaka (Student TU Delft)

Cynthia C. S. Liem (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Alessandro Bozzon (TU Delft - Industrial Design Engineering)

Research Group
Web Information Systems
DOI related publication
https://doi.org/10.1145/3487553.3524252 Final published version
More Info
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Publication Year
2022
Language
English
Related content
Research Group
Web Information Systems
Pages (from-to)
256-259
ISBN (print)
978-1-4503-9130-6
Event
WWW ’22 Companion: The Web Conference (2022-04-25 - 2022-06-29), Virtual event at Lyon, France
Downloads counter
397
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Institutional Repository
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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.