Virtual U: Robust Voice Assistant using Gaussian Mixture Model

Abstract

Today the world is full of rush, and hustle. Desktop assistants are life-changing innovations in the world of Artificial Intelligence. These assistants help the user to use their desktops in touch free manner. Like Siri, Cortana, Google Assistant, Alexa, etc. there are other assistants in the market. Today’s worlds need automation and fast work with the least manual input. The voice assistant aims to develop an intelligent virtual assistant that interacts with users through voice commands, providing a seamless and efficient user experience on desktop platforms. The assistant employs natural language processing (NLP), speech recognition, and machine learning techniques to understand and respond to user queries, perform tasks, and offer relevant information. A voice assistant is a tool that helps you to tackle this problem and control your system with your voice. When this assistant is combined with the security then it achieves the power of identifying the master among multiple speakers. This paper presents an overview of basic functions and common features of our Desktop Voice Assistant: Virtual U.