Speaker Recognition System for Home Security using Raspberry Pi and Python

  • Authors

    • Dr Bageshree Pathak
    • Shriyanti Kulkarni
    2018-09-22
    https://doi.org/10.14419/ijet.v7i4.5.20019
  • Automation, Python, Raspberry pi, Security, Speech

  • Abstract

    The transfer of manual controls to machine controls is automation. Automation is the need of the hour. Home automation is automation of home systems to create smart homes. It includes security systems, appliance control and environment control. The increasing need for safety and security has brought biometric security systems to the forefront. Speech being unique and individualistic can be used for biometric identification. The proposed system is a prototype which can be fitted for speaker recognition for home security. The system will identify the registered speakers and will allow access to the recognized speaker. The system is implemented on Raspberry pi platform using Python language.

     

     

  • References

    1. [1] Juan A. Morales-Cordovilla, Antonio M. Peinado, Victoria Sanchez, Jose A. Gonzalez (2011) “Feature Extraction based on Pitch Synchronous Averaging for Robust Speech Recognitionâ€.

      [2] Patchava Vamsikrishna, Sonti Dinesh Kumar, Dinesh Bommisetty, Akshat Tyagi, (2016) “Raspberry Pi voting system, a reliable technologyâ€.

      [3] Radoslaw Weychan, Tomasz Marciniak, Adam Dabrowski, (2015) “Implementation aspects of speaker recognition using Python language and Raspberry Pi platformâ€.

      [4] Umrani J Suryavanshi, Prof. Dr S.R.Ganorkar, (2014) “Hardware Implementation of Speech Recognitioon using MFCC and Euclidean distanceâ€.

      [5] John Glover, Victor Lazzarini , Joseph Timoney, â€Python For Audio Signal Processingâ€.

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  • How to Cite

    Bageshree Pathak, D., & Kulkarni, S. (2018). Speaker Recognition System for Home Security using Raspberry Pi and Python. International Journal of Engineering & Technology, 7(4.5), 95-97. https://doi.org/10.14419/ijet.v7i4.5.20019

    Received date: 2018-09-22

    Accepted date: 2018-09-22

    Published date: 2018-09-22