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The task of classifying accent, as belonging to a native language speaker or a foreign language speaker, has been so far addressed by means of the audio modality only. However, features extracted from the visual modality have been successfully used to extend or substitute audio-only approaches developed for speech or language recognition. This paper presents a fully automated approach to discriminating native from non-native speech in English, based exclusively on visual appearance featuresdoi:10.1145/2647868.2655026 dblp:conf/mm/GeorgakisPP14 fatcat:o5dai7aq4zentayvezi46jzin4