S. Kaur, S. Sharma, U. Jain, and A. Raj. Advanced Computational Intelligence: An International Journal (ACII), 3 (3):
7(July 2016)
Abstract
The purpose of this research paper is to illustrate the implementation of a Voice Command System. This
system works on the primary input of a user’s voice. Using voice as an input, we were able to convert it to
text using a speech to text engine. The text hence produced was used for query processing and fetching
relevant information. When the information was fetched, it was then converted to speech using speech to
text conversion and the relevant output to the user was given. Additionally, some extra modules were also
implemented which worked on the concept of keyword matching. These included telling time, weather and
notification from social applications.
%0 Journal Article
%1 noauthororeditor
%A Kaur, Surinder
%A Sharma, Sanchit
%A Jain, Utkarsh
%A Raj, Arpit
%D 2016
%J Advanced Computational Intelligence: An International Journal (ACII)
%K Command Pi Processing Query Raspberry Speech System Text Voice speech text to
%N 3
%P 7
%T VOICE COMMAND SYSTEM USING RASPBERRY PI
%U http://aircconline.com/acii/V3N3/3316acii06.pdf
%V 3
%X The purpose of this research paper is to illustrate the implementation of a Voice Command System. This
system works on the primary input of a user’s voice. Using voice as an input, we were able to convert it to
text using a speech to text engine. The text hence produced was used for query processing and fetching
relevant information. When the information was fetched, it was then converted to speech using speech to
text conversion and the relevant output to the user was given. Additionally, some extra modules were also
implemented which worked on the concept of keyword matching. These included telling time, weather and
notification from social applications.
@article{noauthororeditor,
abstract = {The purpose of this research paper is to illustrate the implementation of a Voice Command System. This
system works on the primary input of a user’s voice. Using voice as an input, we were able to convert it to
text using a speech to text engine. The text hence produced was used for query processing and fetching
relevant information. When the information was fetched, it was then converted to speech using speech to
text conversion and the relevant output to the user was given. Additionally, some extra modules were also
implemented which worked on the concept of keyword matching. These included telling time, weather and
notification from social applications. },
added-at = {2017-11-25T20:48:10.000+0100},
author = {Kaur, Surinder and Sharma, Sanchit and Jain, Utkarsh and Raj, Arpit},
biburl = {https://www.bibsonomy.org/bibtex/2f0aad4e73669b60adc0f15c392a50eef/janakirob},
interhash = {8c51e4d20918092368bc9ae2d9278355},
intrahash = {f0aad4e73669b60adc0f15c392a50eef},
issn = {2454 - 3934},
journal = { Advanced Computational Intelligence: An International Journal (ACII)},
keywords = {Command Pi Processing Query Raspberry Speech System Text Voice speech text to},
language = {English},
month = {July},
number = 3,
pages = 7,
timestamp = {2017-11-25T20:48:10.000+0100},
title = {VOICE COMMAND SYSTEM USING RASPBERRY PI },
url = {http://aircconline.com/acii/V3N3/3316acii06.pdf},
volume = 3,
year = 2016
}