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The sound of our speech is influenced by the places we come from. GreatBritain contains a wide variety of distinctive accents which are of interest tolinguistics. In particular, the "a" vowel in words like "class" is pronounceddifferently in the North and the South. Speech recordings of this vowel can berepresented as formant curves or as Mel-frequency cepstral coefficient curves.Functional data analysis and generalized additive models offer techniques tomodel the variation in these curves. Our first aim is to model the differencebetween typical Northern and Southern vowels /ae/ and /a/, by training twoclassifiers on the North-South Class Vowels dataset collected for this paper(Koshy 2020). Our second aim is to visualize geographical variation of accentsin Great Britain. For this we use speech recordings from a second dataset, theBritish National Corpus (BNC) audio edition (Coleman et al. 2012). The trainedmodels are used to predict the accent of speakers in the BNC, and then we modelthe geographical patterns in these predictions using a soap film smoother. Thiswork demonstrates a flexible and interpretable approach to modeling phoneticaccent variation in speech recordings.

Exploring British Accents: Modelling the Trap-Bath Split with Functional Data Analysis