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  Published Paper Details:

  Paper Title

EMBEDDED LINUX AND MACHINE LEARNING BASED SPEAKER RECOGNITION AND AUTHENTICATION

  Authors

  Mohammed Yaser Ali Tariq,  Syed Shadullah Sartaj,  Mohammed Abid Ali,  Mohammed Jaser Ali Talha

  Keywords

Raspberrypi3, microphone, LCD display, machine learning, Linux os.

  Abstract


Speaker recognition is the process of automatically recognizing who is speaking on the basis of individual information included in speech waves. This technique makes it possible to use the speaker's voice to verify their identity and control access to services such as voice dialing, banking by telephone, telephone shopping, database access services, information services, voice mail, security control for confidential information areas, and remote access to computers. Such a speaker recognition system has potential in many security applications. For example, users have to say a PIN (Personal Identification Number) in order to gain access to their office doors. The main aim of the project is to build a embedded, machine learning based speaker recognition and authentication system using raspberry.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2111039

  Paper ID - 212919

  Page Number(s) - a309-a312

  Pubished in - Volume 9 | Issue 11 | November 2021

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Mohammed Yaser Ali Tariq,  Syed Shadullah Sartaj,  Mohammed Abid Ali,  Mohammed Jaser Ali Talha,   "EMBEDDED LINUX AND MACHINE LEARNING BASED SPEAKER RECOGNITION AND AUTHENTICATION", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 11, pp.a309-a312, November 2021, Available at :http://www.ijcrt.org/papers/IJCRT2111039.pdf

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