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Authors
Affiliations
1 SCOPE, VIT University, Vellore, IN
Source
International Journal of Technology, Vol 7, No 1 (2017), Pagination: 15-19
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.
References
- Suma Swamy, K.V Ramakrishnan, “An effective speech recognition system”, Computer Science & Engineering: An international journal (CSEIJ), Vol 3., August 2013.
- Andy Cockburn, Joshua Savage, Andrew Wallace, “Tuning and Testing Scrolling Interfaces That Automatically Zoom”.
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- Melanie Pinola, “Speech Recognition Through the Decades: How We Ended Up With Siri”, PCWorld.
- Ganesh Tiwari, “Text Prompted Remote Speaker Authentication : Joint Speech and Speaker Recognition/Verification System”.
