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@article{151772,
        author = {Sandip Chauhan and Ankur Singh and Tanya Kansal and Priyanka Rai},
        title = {Multilingual Voice Assistant},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {8},
        number = {1},
        pages = {907-910},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=151772},
        abstract = {Voice Assistants are used per day by many people worldwide to send messages, controlling many devices, provide data for input in small devices. The responsiveness of the system defines the user experience in this situation. For multilingual users, a further obstruction to natural interaction while communicating to the voice assistants is the monolingual character that is working on a single language of many Assistant systems, in which users are bound to a single preset language. In this process, we present the architecture of a multilingual voice assistant, that allows users to choose combinations of many regional spoken languages over the world. We leverage a new way in a specific method of real-time based language selection for the voice assistant to achieve the goal of real Natural interaction},
        keywords = {Assistant, Multilingual, Monolingual, Obstruction.},
        month = {},
        }