This paper is published in Volume-5, Issue-3, 2019
Area
Electronics and Communication Engineering
Author
Chaitra K., Bhimashankar M. D., Chandana D., Dr. H. Umadevi
Org/Univ
Dr. Ambedkar Institute of Technology, Bengaluru, Karnataka, India
Keywords
Raspberry Pi, Speech to text, Text to speech, Natural Language Processing, Speech Recognition
Citations
IEEE
Chaitra K., Bhimashankar M. D., Chandana D., Dr. H. Umadevi. Voice Controlled Personal Assistant, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Chaitra K., Bhimashankar M. D., Chandana D., Dr. H. Umadevi (2019). Voice Controlled Personal Assistant. International Journal of Advance Research, Ideas and Innovations in Technology, 5(3) www.IJARIIT.com.
MLA
Chaitra K., Bhimashankar M. D., Chandana D., Dr. H. Umadevi. "Voice Controlled Personal Assistant." International Journal of Advance Research, Ideas and Innovations in Technology 5.3 (2019). www.IJARIIT.com.
Chaitra K., Bhimashankar M. D., Chandana D., Dr. H. Umadevi. Voice Controlled Personal Assistant, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Chaitra K., Bhimashankar M. D., Chandana D., Dr. H. Umadevi (2019). Voice Controlled Personal Assistant. International Journal of Advance Research, Ideas and Innovations in Technology, 5(3) www.IJARIIT.com.
MLA
Chaitra K., Bhimashankar M. D., Chandana D., Dr. H. Umadevi. "Voice Controlled Personal Assistant." International Journal of Advance Research, Ideas and Innovations in Technology 5.3 (2019). www.IJARIIT.com.
Abstract
The main purpose of this paper is to demonstrate the implementation of a Voice Command System as an Intelligent Virtual Assistant (IVA) which can perform enormous tasks or services for an individual. These tasks and services are usually based on the user input, location awareness, and the ability to get the information from different online sources (like weather or traffic conditions, news, stock prices, user schedules, retail prices, asking time, traffic, travel assistant, events, notification from social applications and one can ask questions to the model, invoke its machine learning otherwise get it from Wikipedia… etc.). The motive of the work is to evolve an economically effective and efficient virtual personal assistant using Raspberry Pi based on the concepts of the Internet of Things, Speech Recognition, Natural Language Processing, and Artificial Intelligence Raspberry Pi is the important hardware to implement this model which works on the primary input of the user’s voice. Voice is used as an input to convert into text using a speech to text engine. The text thus produced was used for query processing and getting relevant information. After fetching the information, it is then converted to speech using the text to speech conversion and the relevant output to the user is given. Along with it, some extra modules were also implemented which worked on the concept of keyword matching. It can also help the visually impaired to connect with the outside world by giving them access to Wikipedia, Calculator, etc., everything with their voice. This model can also help people secure as it can be used as a surveillance system which captures the image of the person standing at the door and does the similarity checking. It is also used as a source of entertainment and information for visually impaired. This model will interact with other systems by means of IOT, thus provides a fully automated system.