reNotate: The Crowdsourcing and Gamification of Symbolic Music Encoding

Taylor, Benjamin; Shanahan, Daniel; Wolf, Matthew; Allison, Jesse; Baker, David John

Title:

reNotate: The Crowdsourcing and Gamification of Symbolic Music Encoding

dc.contributor.author	Taylor, Benjamin
dc.contributor.author	Shanahan, Daniel
dc.contributor.author	Wolf, Matthew
dc.contributor.author	Allison, Jesse
dc.contributor.author	Baker, David John
dc.contributor.corporatename	Louisiana State University. Center for Computation & Technology	en_US
dc.date.accessioned	2016-03-24T14:23:44Z
dc.date.available	2016-03-24T14:23:44Z
dc.date.issued	2016-04
dc.description	Presented at the 2nd Web Audio Conference (WAC), April 4-6, 2016, Atlanta, Georgia.	en_US
dc.description.abstract	Musicologists and music theorists have, for quite some time, hoped to be able to make use of computational methods to examine large corpora of music. As far back as the 1940s, an IBM card-sorter was used to implement patternfinding in traditional British folk songs (Bronson 1949, 1959). Alan Lomax famously implemented statistical methods in his Cantometrics project (Lomax, 1968), which sought to collate a large corpus of folk music from across many cultures. In the 1980s and 90s, a number of encoding projects were instituted in an attempt to be able to make searchable music notation on a large scale. The Essen Folksong Collection (Schaffrath, 1995) collected ethnographic transcriptions, whereas projects at the Center for Computer Assisted Research in the Humanities (CCARH) focused on scores in the Western Art Music tradition (Bach chorales, Mozart sonatas, instrumental themes, etc.). Recently, scholars have focused on improving Optical Music Recognition, in the hopes of facilitating the acquisition of large numbers of musical scores (Fujinaga, et al., 2014), but non-notated music, such as improvisational jazz, is often overlooked. While there have been many advances in music information retrieval in recent years, parameters that would facilitate in-depth musicological analysis are still out of reach (for example, stream segregation to examine specific melodic lines, or the analysis of harmony at a resolution that would allow for an analysis of specific chord voicings). Our project seeks to implement methods similar to those used in CAPTCHA and RECAPTCHA technology to crowdsource the symbolic encoding of musical information through a web-based gaming interface. The introductory levels ask participants to tap along with an audio recording's tempo, giving us an approximate BPM, while the second level asks for participants to tap with onsets. The third level asks them to match a contour of a three-note segment, and the final stage asks for specific note matching within that contour. A social-gaming interface allows for users to compete against one another. It is our hope that this work can be generalized to many types of musical genres, and that a web-based framework might facilitate the encoding of musicological and music-theoretic datasets that might be underrepresented by current MIR work.	en_US
dc.embargo.terms	null	en_US
dc.identifier.citation	Taylor, B., et al. "reNotate: The Crowdsourcing and Gamification of Symbolic Music Encoding" (ABSTRACT). In Jason Freeman, Alexander Lerch, Matthew Paradis (Eds.), Proceedings of the 2nd Web Audio Conference (WAC-2016), Atlanta, 2016. ISBN: 978-0-692-61973-5	en_US
dc.identifier.isbn	978-0-692-61973-5
dc.identifier.uri	http://hdl.handle.net/1853/54658
dc.publisher	Georgia Institute of Technology	en_US
dc.relation.ispartofseries	Web Audio Conference ; 2016
dc.rights	Licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/
dc.subject	Web audio	en_US
dc.subject	Symbolic encoding	en_US
dc.subject	Gaming interface	en_US
dc.subject	Music encoding	en_US
dc.title	reNotate: The Crowdsourcing and Gamification of Symbolic Music Encoding	en_US
dc.type	Text
dc.type	Moving Image
dc.type.genre	Abstract
dc.type.genre	Proceedings
dc.type.genre	Presentation
dspace.entity.type	Publication
local.contributor.corporatename	School of Music
local.contributor.corporatename	College of Design
local.relation.ispartofseries	Web Audio Conference
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