Journal :   International Journal of Technology

Volume No. :   7

Issue No. :  1

Year :  2017

Pages :   15-19

ISSN Print :  2231-3907

ISSN Online :  2231-3915


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Automated Scrolling Using Speech Recognition



Address:   Prof. Manikandan K1, Apurva Singh2, Sakshi Agarwal2, Ankita Singh2
1Associate Professor, SCOPE, VIT University, Vellore
2Student, SCOPE, VIT University, Vellore
*Corresponding Author
DOI No: 10.5958/2231-3915.2017.00004.9

ABSTRACT:
The Automated Scrolling Using speech recognition is a promising technique which allows users to scroll through a document with minimum effort and in a smart manner. Speech recognition is being used to perform speech to text conversion of the user’s input which is then processed to accomplish automated scrolling. Google speech recognition API and python speech recognition library are used for efficient extraction of user speech input. A string matching algorithm is used to keep track of user speech input which is converted to text and the document which is to be scrolled. The paper discusses all the modules present in the creation of a proficient automated scrolling system using speech recognition.
KEYWORDS:
Google Speech to Text API, Python Speech Recognition Library, Knuth-Morris-Pratt string matching algorithm, Inter Process Communication, Scroll Event.
Cite:
Manikandan K, Apurva Singh, Sakshi Agarwal, Ankita Singh. Automated Scrolling Using Speech Recognition. Int. J. Tech. 2017; 7(1): 15-19.
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