Print Email Facebook Twitter Scriptoria Title Scriptoria: A Crowd-powered Music Transcription System Author Samiotis, I.P. (TU Delft Web Information Systems) Lofi, C. (TU Delft Web Information Systems) Alaka, Shaad (Student TU Delft) Liem, C.C.S. (TU Delft Multimedia Computing) Bozzon, A. (TU Delft Human-Centred Artificial Intelligence) Contributor Laforest, F. (editor) Troncy, R. (editor) Médini, L. (editor) Herman, I. (editor) Date 2022 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. Subject crowdsourcingmusic transcriptionfocus group discussionsiterative designdigital archives To reference this document use: http://resolver.tudelft.nl/uuid:4178b2f2-bba6-43fe-a24f-db6e4c91f7ba DOI https://doi.org/10.1145/3487553.3524252 Publisher Association for Computing Machinery (ACM), New York ISBN 978-1-4503-9130-6 Source WWW 2022 - Companion Proceedings of the Web Conference 2022 Event WWW ’22 Companion: The Web Conference, 2022-04-25 → 2022-06-29, Virtual event at Lyon, France Part of collection Institutional Repository Document type conference paper Rights © 2022 I.P. Samiotis, C. Lofi, Shaad Alaka, C.C.S. Liem, A. Bozzon Files PDF 3487553.3524252.pdf 1.13 MB Close viewer /islandora/object/uuid:4178b2f2-bba6-43fe-a24f-db6e4c91f7ba/datastream/OBJ/view