Special Issue on Digital Humanities and Music - Post Print Version November 2017.pdf (332.9 kB)
Mining oral history collections using music information retrieval methods
journal contribution
posted on 2023-06-09, 08:50 authored by Sharon WebbSharon Webb, Chris KieferChris Kiefer, Ben JacksonBen Jackson, James Baker, Alice EldridgeAlice EldridgeRecent work at the Sussex Humanities Lab, a digital humanities research program at the University of Sussex, has sought to address an identified gap in the provision and use of audio feature analysis for spoken word collections. Traditionally, oral history methodologies and practices have placed emphasis on working with transcribed textual surrogates, rather than the digital audio files created during the interview process. This provides a pragmatic access to the basic semantic content, but obviates access to other potentially meaningful aural information; our work addresses the potential for methods to explore this extra-semantic information, by working with the audio directly. Audio analysis tools, such as those developed within the established field of Music Information Retrieval (MIR), provide this opportunity. This paper describes the application of audio analysis techniques and methods to spoken word collections. We demonstrate an approach using freely available audio and data analysis tools, which have been explored and evaluated in two workshops. We hope to inspire new forms of content analysis which complement semantic analysis with investigation into the more nuanced properties carried in audio signals.
Funding
Humanising Algorithmic Listening; G2063; AHRC-ARTS & HUMANITIES RESEARCH COUNCIL; AH/P008429/1
History
Publication status
- Published
File Version
- Accepted version
Journal
Music Reference Services QuarterlyISSN
1058-8167Publisher
Haworth PressExternal DOI
Issue
3-4Volume
20Page range
168-183Department affiliated with
- History Publications
Research groups affiliated with
- Sussex Humanities Lab Publications
Full text available
- Yes
Peer reviewed?
- Yes
Legacy Posted Date
2017-11-15First Open Access (FOA) Date
2017-12-05First Compliant Deposit (FCD) Date
2017-11-15Usage metrics
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