Abstract
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.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
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)
https://www.tdcommons.org/dpubs_series/1239
COinS