International Journal of Technology

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Automated Scrolling Using Speech Recognition


Affiliations
1 SCOPE, VIT University, Vellore, India
     

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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.
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  • 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”.

  • Raj Reddy, Lee D. Erman, R.B. Neely, “Working Papers in Speech Recognition”, Computer Science Dept. CMU, April 1972.

  • Youhao Yu, “Research on Speech Recognition Technology and Its Applications”, 2012 International Conference on Computer Science and Electronics Engineering.

  • 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”.


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  • Automated Scrolling Using Speech Recognition

Abstract Views: 939  |  PDF Views: 5

Authors

K. Manikandan
SCOPE, VIT University, Vellore, India
Apurva Singh
SCOPE, VIT University, Vellore, India
Sakshi Agarwal
SCOPE, VIT University, Vellore, India
Ankita Singh
SCOPE, VIT University, Vellore, India

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