Perintah Menggunakan Sinyal Suara dengan Mel-Frequency Cepstral Coefficients (MFCC) dan K-Nearest Neighbor (KNN)

  • Gusti Putu Aryo Widano Udayana University
  • Anak Agung Istri Ngurah Eka Karyawati Universitas Udayana

Abstract

Technological developments today allow every action that originally required more energy to complete will become more practical, an input to give a command can not only be done with a mouse, keyboard, or touch screen technology but can also be done with the help of voice with the help of data by the user computer. Before it can be used as a command, first go through the voice feature extraction process using the Mel-Frequency Cepstral Coefficients (MFCC) method and the classification process using the K-Nearest Neighbor (KNN) method. Previously someone conducted a similar study, with the classification used being Learning Vector Quantization (LVQ) and the highest accuracy obtained ? 0.1.


 

Published
2022-11-25
How to Cite
ARYO WIDANO, Gusti Putu; KARYAWATI, Anak Agung Istri Ngurah Eka. Perintah Menggunakan Sinyal Suara dengan Mel-Frequency Cepstral Coefficients (MFCC) dan K-Nearest Neighbor (KNN). Jurnal Nasional Teknologi Informasi dan Aplikasinya (JNATIA), [S.l.], v. 1, n. 1, p. 115-120, nov. 2022. Available at: <https://ojs.unud.ac.id/index.php/jnatia/article/view/92680>. Date accessed: 27 jan. 2023.

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