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  Published Paper Details:

  Paper Title

INTERACTIVE SPEECH RECOGNITION AI HOME AUTOMATON SYSTEM FOR DISABLES

  Authors

  Nainsi Soni,  Sayar Singh Sekhawat

  Keywords

Artificial intelligence, speech recognition, machine learning, hypothesis, signal processing, Ant Colony Optimization, decision tree, K-mean

  Abstract


This paper aims to provide an interactive environment for disables by speech recognition and device control with embedded systems. Home automation system is now a simple concern in the world of smart technology but always requires flexible implementation to perform well. A concept of machine learning is used which is a method of data analysis that automates analytical model buildings. An interactive device control system (IDCS) is going to implement which used algorithms to iteratively learn from data, machine learning allows computers to perform tasks and provides output without being explicitly programmed. The system uses machine learning methodologies by observing behaviour of a person at a particular time, condition, weather and daily routine tasks and then provides output in an effective manner. As the system learns itself and takes decisions, it is designed especially for disables so that they can control devices of their home and manage household activities to live easy.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT1802326

  Paper ID - 182486

  Page Number(s) - 2482-2488

  Pubished in - Volume 6 | Issue 1 | February 2018

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Nainsi Soni,  Sayar Singh Sekhawat,   "INTERACTIVE SPEECH RECOGNITION AI HOME AUTOMATON SYSTEM FOR DISABLES", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.6, Issue 1, pp.2482-2488, February 2018, Available at :http://www.ijcrt.org/papers/IJCRT1802326.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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