Scriptoria

A Crowd-powered Music Transcription System

Conference Paper (2022)
Author(s)

Ioannis Petros Samiotis (TU Delft - Web Information Systems)

Christoph Lofi (TU Delft - Web Information Systems)

Shaad Alaka (Student TU Delft)

Cynthia C. S. Liem (TU Delft - Multimedia Computing)

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

DOI related publication
https://doi.org/10.1145/3487553.3524252 Final published version
More Info
expand_more
Publication Year
2022
Language
English
Related content
Pages (from-to)
256-259
ISBN (print)
978-1-4503-9130-6
Event
Downloads counter
385
Collections
Institutional Repository
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

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.