Uso de los asistentes de voz para consulta en bases de datos

Abstract

Abstract: The arrival of voice assistants, many activities that people do daily are more comfortable to do. The sending of simple voice commands to the assistants to carry out predefined actions provides accessibility to people with some disability who find it challenging to manipulate technologies or applications. For this work, data on the Covid-19 pandemic published by the National Service for Risk and Emergency Management and the Ministry of Public Health of Ecuador was collect. This data allows us to model a database design in which a web application prototype uses Speech to Text, Text to Speech, and Watson Assistant to provide a query service. With the recognition of intentions and entities by Watson Assistant to provide a response simulating a conversation and with the recognized information, the required query is structure. This prototype aims to provide information about the Covid-19 pandemic in an accessible way through dynamically created queries using natural language input.