tempi-fft | time audio input and FFT | Video Utils library
kandi X-RAY | tempi-fft Summary
kandi X-RAY | tempi-fft Summary
TempiFFT demonstrates how to input audio via AVFoundation for recording or processing and implements an FFT to display a real-time spectrum plot of incoming audio. What's an FFT? Short for Fast Fourier Transform, it's a method for deconstructing an audio signal (or any time-based signal for that matter) into its constituent frequencies and intensities. The FFT function is a crucial component for nearly all audio DSP. Doesn't Apple's Accelerate framework already include an FFT? Yes, and this project makes use of it. But Accelerate's FFT function (vDSP_fft_zrip) isn't trivial to call or set up correctly (esp. from Swift) and is just one necessary ingredient to a functional FFT. What's “logical banding”? Actually I made that term up so maybe there's a better name for it, but logical banding adds an interface on top of the raw FFT data so that you can, for example, analyze the data at 5 bands per octave across a 6 octave range. How do you pronounce Tempi? TEMP-ee.
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QUESTION
I am building an app that needs to be able to display a real-time spectral analyzer. Here is the version I was able to successfully make on iOS:
I am using Wendykierp JTransforms library to perform the FFT calculations, and have managed to capture audio data and execute the FFT functions. See below:
...ANSWER
Answered 2018-Nov-21 at 21:08Your question can be split into two parts: finding the magnitude of all frequencies (interpreting the output) and averaging the frequencies into bands
Finding the magnitude of all frequencies:I won't go into the intricacies of the Fast Fourier Transform/Discrete Fourier Transform (if you would like to gain a basic understanding see this video), but know that there is a real and an imaginary part of each output.
The documentation of the realForward
function describes where both the imaginary and the real parts are located in the output array (I'm assuming you have an even sample size):
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