Computational modelling of segmental and prosodic levels of analysis for capturing variation across Arabic dialects

Brown, Georgina and Hellmuth, Sam orcid.org/0000-0002-0062-904X (2022) Computational modelling of segmental and prosodic levels of analysis for capturing variation across Arabic dialects. Speech Communication. pp. 80-92. ISSN 0167-6393

Abstract

Metadata

Item Type: Article
Authors/Creators:
Copyright, Publisher and Additional Information:

© 2022 The Authors.

Keywords: automatic accent recognition,Arabic dialects,accent,intonation,Support Vector Machines
Dates:
  • Published: 2 June 2022
  • Published (online): 14 May 2022
  • Accepted: 13 May 2022
  • Submitted: 22 October 2020
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/I010106/1
Depositing User: Pure (York)
Date Deposited: 10 Jun 2022 08:00
Last Modified: 30 Nov 2024 01:12
Published Version: https://doi.org/10.1016/j.specom.2022.05.003
Status: Published
Refereed: Yes
Identification Number: 10.1016/j.specom.2022.05.003
Open Archives Initiative ID (OAI ID):

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