JOURNAL ARTICLE

Desktop Voice Assistant

Harshil AsodariyaKeval VachhaniEishan GhoriBrijesh BabariyaTejal Patel

Year: 2023 Journal:   Zenodo (CERN European Organization for Nuclear Research)   Publisher: European Organization for Nuclear Research

Abstract

Our desktop voice assistant project aims to develop asoftware program that uses artificial intelligence and natural language processing to understand and respond to voice commands on a desktop computer. This technology will allow users to interact with their computer using their voice, making iteasier and more convenient to access information and perform tasks. The desktop voice assistant will be designed to understandand respond to a wide range of voice commands, including commands to open and close programs, search the internet, and perform basic calculations. To develop our desktop Voice assistant, we will use appropriate programming languages and frameworks, and conduct thorough evaluations to assess its performance and effectiveness. We will also gather feedback from users to identify any areas for improvement and inform future updates to the program. Our goal is to create a convenientand efficient tool that helps user’s access information and perform tasks more easily and efficiently on their desktop.

Keywords:
Voice command device Range (aeronautics) Natural language Interactive voice response Information access

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Topics

AI in Service Interactions
Physical Sciences →  Computer Science →  Artificial Intelligence
Spreadsheets and End-User Computing
Physical Sciences →  Computer Science →  Software
ICT in Developing Communities
Physical Sciences →  Computer Science →  Information Systems

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