Development of a speech controlled water tap and fan system using linear predictive coefficient for feature extraction

 
 
 
  • Abstract
  • Keywords
  • References
  • PDF
  • Abstract


    Automatic device control is of great assistance in different electronic application areas that will aid human endeavors. Traditionally, fan and water pump system used in many homes are controlled by using manual process. This is a time consuming and difficult procedure, for the elderly, and handicap persons. In this view, this paper presents a microcontroller based fan and water pump control system using speech recognition. The system has a PIC16F628A microcontroller activated by a speech recognizer, then triggers control to a DC motor which set the water tap or the fan in motion. The Spoken words chosen for recognition are ON and OFF and the speech samples were extracted with Linear Predictive Coefficient (LPC) Feature extraction technique and after experimenting with the developed system, the result indicates the device is of good performance. We intend to increase the complexity of this work by adding specific sensors that will automatically switch off the fan at specified room temperature, and turn off the water tap at the fill of a container.

     

     


  • Keywords


    Speech Recognition; Linear Predictive Coefficient; Microcontroller; Features Extraction.

  • References


      [1] R. A. Aqeel-ur-Rehman, and H. Khursheed,. Voice Controlled Home Automation System for the Elderly or Disabled People. J. Appl. Environ. Biol. Sci, vol. 4, (2014) pp. 55-64.

      [2] R. Jain, and S. K Saxena. Advanced Feature Extraction and Its Implementation in Speech Recognition System, International Journal of Services Technology and Management (IJSTM), Vol. 2 Issue 3. (2011).

      [3] A. K Gupta, and S. K Arora. Industrial Automation and Robotics, 348 pages, Laxmi Publications, ISBN-10: 8131801810. (2007).

      [4] J. Burroughs, X-10 Home Automation Using the PIC16F877A Lamp, vol. 10, (2010) article 10.

      [5] S. M. AnamulHaque, S. M. Kamruzzaman, and M.D. Ashraful Islam1. A System for Smart-Home Control of Appliances Based on Timer and Speech Interaction, Proceedings of the 4th International Conference on Electrical Engineering and 2nd Annual Paper Meet 26-28, pp. 128-131, January, 2006.

      [6] B. Mardiana, H. Hazura, S. Fauziyah, M. Zahariah, A.R. Hanim, and M.K. Noor Shahida,. Homes Appliances Controlled Using Speech Recognition in Wireless Network Environment, ICCTD, vol. 2, pp.285- 288, 2009 International Conference on Computer Technology and Development, (2009). https://doi.org/10.1109/ICCTD.2009.178.

      [7] J. Gerhart. Home automation and wiring. Mcgraw-hill/TAB Electronics; 1 edition (March 31, 1999). (ISBN 0070246742) ISBN-13: 978-0070246744. (1999).

      [8] W. C. Mann, (Ed.) Hoboken. Smart technology for aging, disability, and independence: The state of the science. John Wiley & Sons. Inc., 2005. 379 pages, (ISBN 0-471-69694-3). (2005).

      [9] R. Nave,R. (2014). Hyperphysics Microphones. Retrieved2014, May, from http://hyperphysics.phyastr.gsu.edu/hbase/audio/mic.html.

      [10] W. Yuwraj, T., Ankita, G., Pallavi, and D. Ruchita, Voice Recognition System for Home Appliances, International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering Vol. 4, Issue 2, February 2016 Copyright to IJIREEICE DOI 10.17148/IJIREEICE.2016.4221 79. IJIREEICE ISSN (Online) 2321 – 2004 ISSN (Print) 2321 – 5526. (2016). https://doi.org/10.17148/IJIREEICE.2016.4221.


 

View

Download

Article ID: 29588
 
DOI: 10.14419/ijet.v8i4.29588




Copyright © 2012-2015 Science Publishing Corporation Inc. All rights reserved.