![]() ![]() We trained random forest models to identify individual northern cities from a sample of other northern accents, based on first two formant measurements of full vowel systems. We investigated this instance of dialect leveling using random forest classification, with audio data from a crowd-sourced corpus of 105 urban, mostly highly-educated speakers from five northern UK cities: Leeds, Liverpool, Manchester, Newcastle upon Tyne, and Sheffield. The case study is dialect leveling in the North of England, manifested as reduction of accent variation across the North and emergence of General Northern English (GNE), a pan-regional standard accent associated with middle-class speakers. In this paper, we present a novel computational approach to the analysis of accent variation. ![]() 4Center for the Study of Language and Society, University of Bern, Bern, Switzerland.3Department of Linguistics and English Language, Lancaster University, Lancaster, United Kingdom.2Alliance Manchester Business School, University of Manchester, Manchester, United Kingdom. ![]()
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