ARIVA: Artificial Intelligence Enabled Voice Assistance System using Natural Language Processing
Varsha Kumari Barnwal, Anjali Shaw, Kanchan Sarkar, Sheuli Chakraborty, Anup Kumar Mukhopadhyay · 2023
In this modern era, the regular life of people have become more competent and are interlinked with technology. There are many voice assistants like Google and Siri. etc., getting used in the present day. Here, the proposed Artificial Intelligence Enabled Voice Assistance System (ARIVA) using Natural Language Processing facilitates domains such as drug prescribers, to-do lists, note-writing, calculators, and searching tools. The ARIVA model takes input as a voice signal and yields output in numerous ways, like voice and a visual display. This virtual assistant aims to provide users with instant, accomplished results. The proposed ARIVA system accepts the command via the microphone of the executing system and converts human voice into computer-understandable language, and then generates the required solutions for the said queries. The speech recognition and processing are carried out using Natural Language Processing (NLP) algorithm that aids computer systems in interacting through natural human speech in different forms. ARIVA can connect with the world wide web to procure the results of the individual's query. The ARIVA aids the user with everyday actions such as general verbal interaction, exploring Google for query processing, video searching, searching for videos, playing songs, predicting future weather reports, analyzing synonyms, searching for health and hygiene, and assisting the user by scheduling tasks and events. In terms of performance, ARIVA, when compared to IntelliAssistant, it is seen that ARIVA consumes lesser time and exhibits lesser memory requirement.