An Intelligent Virtual System using Machine Learning
Bhawana Sati, Sameer Kumar, Karan Singh Rana, Kuhil Saikia, Subrata Sahana, Sanjoy Das · 2022 IEEE IAS Global Conference on Emerging Technologies (GlobConET) · 2022
This paper is based on a voice based virtual assistant. It is a tool in AI that allows us to fulfil different purposes just by giving voice commands. The voice assistant we have developed is a desktop-based built using python modules and libraries which further stretches its reach to Machine Learning models and Deep Learning. In this process, we developed a system which recognizes the voice from the dataset and then the corresponding response will be done based on the input voice received by the model. The process works on three stages namely, pre-processing, classification and feature extraction. Desktop voice assistants are programmes that use integrated voice systems to recognise and respond to human voices. This paper will explain how a voice assistant works, as well as the major issues and constraints that it faces. The method of a virtual assistant presented in this paper is part of the system’s study. Artificial Intelligence has made a great impact in the way of living life for the people in a unique and different manner and Virtual Assistant is one of those innovations. Initially, laptops and smart phones widely used virtual assistants but currently it’s also being used in home automation.