Scriptoria

A Crowd-powered Music Transcription System

Conference paper (2022)

Authors

I.P. Samiotis Web Information Systems - EEMCS
C. Lofi Web Information Systems - EEMCS
Shaad Alaka Student
A. Bozzon Human-Centred Artificial Intelligence - IDE
Research Group
Web Information Systems (EEMCS) (TU Delft)
Copyright: © 2022 I.P. Samiotis, C. Lofi, Shaad Alaka, C.C.S. Liem, A. Bozzon
DOI: https://doi.org/10.1145/3487553.3524252
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Published Date

2022

Language

English

Reuse Rights

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Software Technology

Research Group

Web Information Systems

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.

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