JARVIS: A Virtual Speech Assistant with Image Recognition
Author(s):
Viren Tamhane, Vedant Tapadia, Atharva Gonjari, Tanishq Valyal
Keywords:
Abstract
Virtual Speech Assistant is an application performing tasks on behalf of an individual. They are also referred as Intelligent Virtual Assistant which interprets human speech and respond via synthesized voices. Virtual Assistant finds their usage in various applications such as home automation, manage to-do tasks and media playback through voice. In this project we will try to combine the algorithm behind image recognition with a virtual speech assistant. We have used Convolutional Neural Networks (CNN) for image classification and recognition. A parser named GTTS (Google Text-To-Speech) is employed to recognize the speech. This report discusses ways in which new technology could be harnessed to create an intelligent Virtual Speech Assistant with a focus on user-based information. It is suggested that new technologies may soon make the idea of virtual speech assistants a reality. Experiments conducted on this system, combined with user testing, have provided evidence that a basic program with CNN algorithms in the form of a VSA and basic GTTS have the ability to function without the need for other type of human input.
Article Details
Unique Paper ID: 154959

Publication Volume & Issue: Volume 8, Issue 12

Page(s): 888 - 891
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