Real Time Pitch Detection For Vocal Tuning Using FFT Algoritma And Spectrogram

2020 ◽  
Vol 8 (3) ◽  
pp. 325
Author(s):  
Devin Reness Noak ◽  
I Dewa Made Bayu Atmaja Darmawan
Keyword(s):  
Fourier Transform ◽  
Fast Fourier Transform ◽  
Real Time ◽  
Programming Language ◽  
Pitch Detection ◽  
Test Results ◽  
Sound Recording ◽  
Transform Method ◽  
Vocal Training ◽  
Fast Fourier Transform Method

The song is a means of entertainment most often heard by humans where in the song consists of music and vocals. Good quality music and vocal singers will make a song more pleasant to hear. To make the song sound tunable and in accordance with the rhythm can be done by adjusting the vocals according to the tone of the song. From this we know that measuring sound frequencies needs to be done to determine whether a frequency or period is loud, it can also be used as a tool in vocal training, one of them for vocal tuning applications to find the harmonious sound of the sound. Moreover, it can be used as a learning need in Sound Frequency Processing. Where one of the parts to create a vocal tuning application can be through the Real-time spectrogram program. This RTS uses Pyaudio as sound recording, uses the Python 3.6 programming language and uses the Fast Fourier Transform method which will help when making real-time spectrogram and pitch detection programs. The test results obtained 75% accuracy in real-time pitch detection programs.

Discussion of Short-Wavelength Laser Beam Focus Using Fast Fourier Transform Method

2011 ◽  
Vol 31 (5) ◽  
pp. 0507001
Author(s):  
杨美霞 Yang Meixia ◽  
钟鸣 Zhong Ming ◽  
任钢 Ren Gang ◽  
何衡湘 He Hengxiang ◽  
刘文兵 Liu Wenbing ◽  
...  
Keyword(s):  
Fourier Transform ◽  
Laser Beam ◽  
Fast Fourier Transform ◽  
Short Wavelength ◽  
Transform Method ◽  
Fourier Transform Method ◽  
Fast Fourier Transform Method

Impact tensile behavior analysis of Twaron fiber tows from fast Fourier transform

2018 ◽  
Vol 89 (8) ◽  
pp. 1363-1370
Author(s):  
Lvtao Zhu ◽  
Guocheng Zhu ◽  
Jianyong Feng ◽  
Limin Jin ◽  
Pibo Ma
Keyword(s):  
Fourier Transform ◽  
Strain Rate ◽  
Fast Fourier Transform ◽  
Failure Strain ◽  
Amplitude Spectrum ◽  
Strain Rates ◽  
Transform Method ◽  
Fast Fourier Transform Method ◽  
Split Hopkinson ◽  
Specific Frequency

In this study, tensile experiments of Twaron fiber tows under different strain rates (quasi-static: 0.001 s−1, dynamic: 800–2400 s−1) were tested with an MTS materials tester (MTS 810.23) and a split Hopkinson tension bar, respectively. The results showed that the mechanical properties of the Twaron fiber tows were sensitive to strain rate: the stiffness and failure stress of the fiber tows increased distinctly as the strain rate increased, while the failure strain decreased. From scanning electron microscope photographs of the fracture surface, it is evident that the Twaron fiber tows failed in a tougher mode and the axial split became more severe as the strain rate increased. The tensile behaviors of the Twaron fiber tows were analyzed in the frequency domain using the fast Fourier transform method. The amplitude spectrum and power of energy absorption of the Twaron tows were concentrated in a specific frequency range and increased with strain rate.

Acoustic Analysis of Cylindrical, Conical and Worm Gears

2019 ◽  
Vol 957 ◽  
pp. 211-220
Author(s):  
Cornel Cristian Enciu ◽  
Cristian Tarba ◽  
Cristian Barbulescu
Keyword(s):  
Fourier Transform ◽  
Fast Fourier Transform ◽  
Real Time ◽  
Acoustic Analysis ◽  
Single Channel ◽  
Intensity Level ◽  
Analog Filter ◽  
Transform Method ◽  
Worm Gears ◽  
Electric Drill

The paper aims to determine the characteristic frequencies of an electric drill, by measuring and analyzing comparatively the variations of the acoustic intensity level, using the Fast Fourier Transform method (FFT). This was applied using a stand which had been specifically developed for the presented work. In two channel and multichannel systems, digital methods have been used for the calculation of cross properties as they were the only practical methods. Using digital techniques has gained considerable ground, being nowadays applied to problems once solved by resorting to analog methods. The increasing use of Fast Fourier Transform methods is found in single channel real time narrow band measurements and the Digital Filtering is replacing the Analog Filter bank which was used as the basis for real time analyzers operating with constant percentage bandwidth.

Application of Chirp-z Transform in Doppler Weather Radar

2014 ◽  
Vol 513-517 ◽  
pp. 4265-4268
Author(s):  
Jun Zhu ◽  
Xiao Jia Lu ◽  
Xiang Liu
Keyword(s):  
Signal Processing ◽  
Fourier Transform ◽  
Fast Fourier Transform ◽  
Measurement Accuracy ◽  
Weather Radar ◽  
Doppler Weather Radar ◽  
Transform Method ◽  
Fast Fourier Transform Method ◽  
Sampling Points ◽  
Signal Processing Methods

Among the signal processing methods of Doppler weather radar, the FFT (Fast Fourier Transform) method is widely used. If the measurement accuracy needs to be improved, the number of FFT points also needs to be increased. As a result, the amount of computation increases exponentially. Chirp-z transform can directly refine certain spectrum in the spectrum of weather echoes. In the case that the sampling points and the amount of computation increase fewer, the measurement accuracy can be greatly advanced.

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