Traditionally a voice-controlled virtual assistant interacts with a user in a neutral, accent-free way. A virtual assistant that matches the language and accent of the user can be more appealing. This disclosure uses machine-learning models to match the language and accent of a virtual assistant to that of the user who commands it.
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Matani, Jatin; Gervais, Philippe; Calvo, Marcos; Feuz, Sandro; and Deselaers, Thomas, "Matching language and accent in virtual assistant responses", Technical Disclosure Commons, (June 08, 2018)