This paper is published in Volume-5, Issue-2, 2019
Area
Computer Engineering
Author
Reeta Bandhu, Nikhil Kumar Singh, Betawar Shashank Sanjay
Org/Univ
Sinhgad Institute of Technology, Lonavala, Maharashtra, India
Pub. Date
02 April, 2019
Paper ID
V5I2-1688
Publisher
Keywords
Natural language processing, Speech recognition, Offline application, Voice commands, Screen overlay

Citationsacebook

IEEE
Reeta Bandhu, Nikhil Kumar Singh, Betawar Shashank Sanjay. Offline speech recognition on android device based on supervised learning, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Reeta Bandhu, Nikhil Kumar Singh, Betawar Shashank Sanjay (2019). Offline speech recognition on android device based on supervised learning. International Journal of Advance Research, Ideas and Innovations in Technology, 5(2) www.IJARIIT.com.

MLA
Reeta Bandhu, Nikhil Kumar Singh, Betawar Shashank Sanjay. "Offline speech recognition on android device based on supervised learning." International Journal of Advance Research, Ideas and Innovations in Technology 5.2 (2019). www.IJARIIT.com.

Abstract

Offline Android Smartphone Assistant is a virtual personal assistant which is implemented to perform basic functionalities of the smartphone in offline mode with speech commands. The task includes open apps, toggle wi-fi, toggle Bluetooth, call a person, send messages, control brightness, open torch, etc. The key functionality of the Offline Android Smartphone Assistant is the capability of performing each and every task without the use of the internet. The users can interact with the assistant through natural voice commands. Many companies had established several virtual assistants like Google Assistant, Apple’s Siri, Amazon Alexa, etc. However, the virtual assistants established by several companies do not provide many offline functionalities. In this proposal, we provide easy to access every system functionality without using the internet using Speech Recognition. This application will help people in areas where internet connectivity is hardly possible. The application also provides the functionality of a screen overlay. The application uses Natural Language Processing for processing the voice commands and performing the required tasks.