Slow Listening: Digital Tools for Voice Studies.
Sound studies in general, and voice studies in particular, present particular challenges for digital humanities scholarship. The software tools available to digital humanists who want to study performative speech are less familiar and less developed for our uses, and the user base is also much small...
| Published in: | DHQ: Digital Humanities Quarterly Vol. 17; no. 3; pp. 1 - 23 |
|---|---|
| Main Authors: | , |
| Format: | Article |
| Published: |
Digital Humanities Quarterly
2023
|
| Subjects: | |
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=173348899&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 173348899 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 19384122 77X0 jtl: DHQ: Digital Humanities Quarterly issn: 19384122 maglogo: N pubinfo: dt: 2023 vid: 17 iid: 3 pid: 47240 pub: Digital Humanities Quarterly artinfo: ui: 173348899 ppf: 1 ppct: 22 formats: tig: atl: Slow Listening: Digital Tools for Voice Studies. aug: au: MacArthur, Marit J. Miller, Lee M. affil: University of California, Davis su: Digital technology Podcasting Political oratory Software development tools Text mining Digital humanities sug: subj: Digital technology Podcasting Political oratory Software development tools Text mining Digital humanities keyword: Phonetic linguistics Poet Voice Poetry ab: Sound studies in general, and voice studies in particular, present particular challenges for digital humanities scholarship. The software tools available to digital humanists who want to study performative speech are less familiar and less developed for our uses, and the user base is also much smaller than for text mining or network analysis. This article provides a critical narrative of our research and an outline of our methodology, in applying, developing and refining tools for the analysis of pitch and timing patterns in recorded performances of literary texts. The primary texts and audio considered are poetry readings, but the tools and methods can and have been applied more widely to podcasts, talking books, political speeches, etc. This article provides a critical narrative of our research in applying, developing and refining tools for the analysis of pitch and timing patterns in recorded performances of literary texts. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2023 holdings: @attributes: islocal: N |
|---|