IJRR

International Journal of Research and Review

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Research Paper

Year: 2020 | Month: February | Volume: 7 | Issue: 2 | Pages: 155-162

Discrete Sine Transform Analysis, Discrete Cosine Transform and Discrete Fourier Transform for Introduction to Voice Register

Muhamad Yustisar1, Poltak Sihombing2, Syahril Efendi2

1Postgraduate Students at Universitas Sumatera Utara, Medan, Indonesia
2Postgraduate Lecturer at Universitas Sumatera Utara, Medan, Indonesia

Corresponding Author: Muhamad Yustisar

ABSTRACT

Voice register is a division of human voice area based on sound source, resonant space sensation, shape, color, sound timbre, and high and low tones produced, with the type of voice tested is the female voice register for chest voice, head voice, falsetto and vocalfry. The data used in this study is a set of female voice register audio file recorded with the help of the adobe audition 1.5 application. The audio file extension used in this study is file.wav. The choice of audio.wav file is due to the default audio format in audio processing on the windows operating system. In this study, the percentage of discrete sine transform (DST) transformations true detection rate ranged from 63% to 79%, the percentage of discrete cosine transform (DCT) transformations true detection rate ranged from 61% to 73% and the percentage of discrete fourier transform (DFT) transformation rates of true detection ranged from 58% to 61%. The average DST transformation is true detection rate of 73%, DCT transformation is an average true detection rate of 66% and the average DFT transformation is true detection rate of 59%. The best transformation method for introducing voice registers through female voices is DST and DFT.

Keywords: Discrete sine transform analysis, discrete cosine transform, DCT, discrete fourier transform (DFT), Voice register

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