Mengenali pengaruh emosional pada suara manusia menggunakan metode Fast Fourier Transform (FFT)

Main Article Content

Phita Aulia Ummami

Abstract

Emotion is a feeling that is felt by someone and can be addressed to other people or something and can arise as a reaction due to certain events. Some previous studies have stated that some statistical parameters have a high correlation between speech and emotional states that can indirectly influence the state of sound identified. In this study a simple experiment was carried out by taking nine samples with three different emotional characters namely sad, happy, and angry taken from three respondents who were randomly selected with the aim of identifying differences in emotions generated through sound data using the Fast Fourier Transform method ( FFT).

Article Details

How to Cite
Ummami, P. (2019). Mengenali pengaruh emosional pada suara manusia menggunakan metode Fast Fourier Transform (FFT). Journal of Informatics Information System Software Engineering and Applications (INISTA), 2(1), 14-19. https://doi.org/10.20895/inista.v2i1.56
Section
Articles

References

Bhaskoro, S. B., Pelatihan, F. and Pengenalan, F. (2012) ‘Aplikasi pengenalan gender menggunakan suara’, 2012(Snati), pp. 15–16.
Ferrdyhendrawan, T. et al. (2017) ‘SOUND CONVERSION USING FAST FOURIER TRANSFORM’, 1(1), pp. 22–26.
Hakim, A. R. (2016) ‘Analisis Perbandingan Discrete Wavelet Transform , Discrete Cosine Transform dan Fourier Transform pada Proses Pengenalan Pola Suara’.
Hanggarsari, P. N., Fitriawan, H. and Yuniati, Y. (2012) ‘SIMULASI SISTEM PENGACAKAN SINYAL SUARA SECARA REALTIME BERBASIS FAST FOURIER TRANSFORM ( FFT )’, (3), pp. 192–198.
Lamtiur, R. A. (2018) Identifikasi Sinyal Suara Menggunakan Metode Fast Fourier Transform ( FFT ) Berbasis Matlab.
Nadhiroh, Y. F. (2015) ‘PENGENDALIAN EMOSI (Kajian Religio-Psikologis tentang Psikologi Manusia)’, 2(1), pp. 53–63.
Prasetio, B. H. and Kurniawan, W. (2017) ‘Pengenalan Emosi Berdasarkan Suara Menggunakan Algoritma HMM’, (December). doi: 10.25126/jtiik.201743339.
Sipasulta, R. Y., St, A. S. M. L. and Sompie, S. R. U. A. (2014) ‘Simulasi Sistem Pengacak Sinyal Dengan Metode FFT ( Fast Fourier Transform )’, pp. 1–9.
Sujadi, H. et al. (2017) ‘SISTEM PENGOLAHAN SUARA MENGGUNAKAN ALGORITMA FFT’, pp. 101–107.