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All Journal PROCEEDING IC-ITECHS 2014 Journal of Computer Networks, Architecture and High Performance Computing
Harly, Daniswara Andhika Putra
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Computer Science & IT Education

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Journal : PROCEEDING IC-ITECHS 2014

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Application of FFT and KNN Methods for the Process of Identifying Sound Signals Yunitasari, Yessi; Saifulloh, Saifulloh; Harly, Daniswara Andhika Putra
IC-ITECHS Vol 5 No 1 (2024): IC-ITECHS
Publisher : LPPM STIKI Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/ic-itechs.v5i1.1599

Abstract

Everyone has a different kind of voice. Sound is a unique thing and has a certain range of frequencies and intensity of sound that can and cannot be heard by humans. we can detect important characteristics of the sound. The Fast Fourier Transform (FFT) algorithm is an algorithm for calculating Discrete Fourier Transform (DFT). Process of Identifying Sound Signals beginning with the sound data was preprocessed, feature extraction using FFT, classification using KNN and finding the nearest distance using the Euclidean distance method, an accuracy result of 79% of the tested data was obtained.
Co-Authors Anardani, Sri Anardani, Sri Jayadi, Puguh saifulloh Saifulloh, saifulloh Yessi Yunitasari