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All Journal Jurnal Teknik Informatika (JUTIF)
Davita Nadia Fadhilah
Telecommunication Engineering, Electrical Engineering Faculty, Telkom University, Indonesia
Computer Science & IT

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INDIVIDUAL IDENTIFICATION SYSTEM DESIGN THROUGH VOICE USING LINEAR PREDICTIVE CODING METHOD AND K-NEAREST NEIGHBOR Davita Nadia Fadhilah; Rita Magdalena; Sofia Sa’idah
Jurnal Teknik Informatika (Jutif) Vol. 2 No. 2 (2021): JUTIF Volume 2, Number 2, December 2021
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2021.2.2.71

Abstract

Humans have a variety of characteristics that are different from one another. Characteristics possessed by humans are genuine which can be used as a differentiator between one individual and another, one of which is sound. Voice recognition is called speech recognition. In this study, it was developed as an individual voice recognition system using a combination of the Linear Predictive Coding (LPC) method of feature extraction and K-Nearest Neighbor (K-NN) classification in the speech recognition process. Testing is done by testing changes in several parameters, namely the LPC order value, the number of frames, the K value, and different distance methods. The results of the parameter combination test showed a fairly good presentation of 73.56321839% with the combination parameter or LPC 8, the number of frames 480, the value of K 5, with the distance method used by Chebychev.
Co-Authors Rita Magdalena Sofia Sa’idah