Speaker Recognition System for Home Security using Raspberry Pi and Python

  • Authors

    • Dr Bageshree Pathak
    • Shriyanti Kulkarni
    https://doi.org/10.14419/ijet.v7i4.5.20019

    Received date: September 22, 2018

    Accepted date: September 22, 2018

    Published date: September 22, 2018

  • 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. Juan A. Morales-Cordovilla, Antonio M. Peinado, Victoria Sanchez, Jose A. Gonzalez (2011) “Feature Extraction based on Pitch Syn-chronous Averaging for Robust Speech Recognition”.
    2. Patchava Vamsikrishna, Sonti Dinesh Kumar, Dinesh Bommisetty, Akshat Tyagi, (2016) “Raspberry Pi voting system, a reliable tech-nology”.
    3. Radoslaw Weychan, Tomasz Marciniak, Adam Dabrowski, (2015) “Implementation aspects of speaker recognition using Python lan-guage and Raspberry Pi platform”.
    4. Umrani J Suryavanshi, Prof. Dr S.R.Ganorkar, (2014) “Hardware Implementation of Speech Recognitioon using MFCC and Euclide-an distance”.
    5. John Glover, Victor Lazzarini , Joseph Timoney, ”Python For Audio Signal Processing”.

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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 and Technology, 7(4.5), 95-97. https://doi.org/10.14419/ijet.v7i4.5.20019