Teachable machine : A web based machine learning tool for user voice biometric authentication system

Chhipa, Vinod; Poonia, Rakesh

doi:10.47974/JDMSC-1989

Open Access Research Article

Teachable machine : A web based machine learning tool for user voice biometric authentication system

^*Vinod ChhipaCorresponding authorvinodchhipa55@gmail.comDepartment of Computer ApplicationEngineering College BikanerBikaner, Rajasthan, IndiaView full profile → , Rakesh Pooniarakesh.ecb98@gmail.comDepartment of Computer ApplicationEngineering College BikanerBikaner, Rajasthan, IndiaView full profile →

* Corresponding author · click or hover a name for details

pp. 1345–1355Vol. 27Issue 4June 2024DOI: 10.47974/JDMSC-1989 Crossmark XML

Published Online:: 26 Jun 2024
Article type:: Research Article
Language:: EN
Article no.:: JDMSC-1989
Pages:: 1345–1355

Abstract

Now a days field of Artificial Intelligence and Machine Learning growing faster in this digital era. Teachable Machine is a web based; online open source Machine Learning classification model tool provides GUI (Graphical User Interface) and user friendly environment for end users. Teachable Machine, a web-based artificial intelligence tool service, was launched by Google. for teachers, students, data scientists and researchers without technical expertise in coding. Teachable Machine is an ML and DL model development tool without using any programming language. Teachable machine basically provides model training such as image, audio and pose identification. In this paper we are training user voice samples to recognize user voice to authenticate authorized user using his/her voice. Teachable Machine gets background noise and other multiple class audio samples to train our model. Teachable Machine can be utilized in various online transaction based application to access or complete transactions. User voice can be recognized in real time systems. It uses tenserflow.js library for training voice model with less response time and better accuracy rate as compare to other existing techniques. The customized voice model can be export by user, to utilize model in object detection. Exported model can be integrated with other programming languages such as Android, JavaScript and P5js. It helps users to develop AI and ML based applications for voice authentications as well as voice recognition. It can easily and quickly classify the datasets given to it.

Keywords

Machine learning Voice Authentication Biometric Tool Deep learning Artificial intelligence

Subject Classifications

68T1068T05

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