Almbark, Rana, Hellmuth, Sam orcid.org/0000-0002-0062-904X and Brown, Georgina (2023) Working with Public Involvement Coordinators to support remote collection of high quality audio speech data. Laboratory Phonology. ISSN 1868-6354
Abstract
In 2022 we planned speech data collection with speakers of Syrian and Jordanian dialects to inform an updated Syrian Arabic dialectology in response to sustained displacement of millions of Syrians. The pandemic imposed remote data collection, but an internet-based approach also facilitated recruitment with this highly distributed speech community. Their vulnerable situation brings barriers, however, since most prospective participants have limited internet data and rarely use email. We collected self-recorded short audio files in which participants read scripted materials and described pictures. Three platforms were tested: Gorilla, Phonic and Awesome Voice Recorder (AVR, smartphone app). Gorilla/Phonic offer stimulus presentation advantages, so were piloted thoroughly, but the audio quality obtained was not suitable for phonetic analysis. AVR yields full spectrum wav files but requires participants to submit files by email, so we recruited local fieldworkers, or Public Involvement Coordinators (PIC), to support participants with recording and file submission. We asked PICs and 20% of participants about their experience of working with us, through surveys and interviews. The results confirm PIC fieldworker involvement was crucial to the success of the project which generated high quality audio data, suitable for phonetic analysis, from 134 speakers within three months (Almbark, Hellmuth, & Brown, forthcoming).
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details. |
Keywords: | Syrian Arabic,remote data collection,fieldworkers,audio quality |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Arts and Humanities (York) > Language and Linguistic Science (York) |
Funding Information: | Funder Grant number ECONOMIC AND SOCIAL RESEARCH COUNCIL (ESRC) ES/T502066/1 |
Depositing User: | Pure (York) |
Date Deposited: | 27 Nov 2023 16:00 |
Last Modified: | 02 Apr 2025 23:26 |
Published Version: | https://doi.org/10.16995/labphon.10541 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.16995/labphon.10541 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:206003 |
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Description: Working with Public Involvement Coordinators to support remote collection of high quality audio speech data