Real-time Spectrogram

Real-time Spectrogram#

import IPython.display as ipd

from mirdotcom import mirdotcom

mirdotcom.init()

ipd.YouTubeVideo("ydu12NfZd90", width=600, height=360)

Here is how you can create a real-time spectrogram in your terminal using PyAudio.

To see the example in action, run the script in this repo, realtime_spectrogram.py:

python3 realtime_spectrogram.py

The basic idea is simple. For every new audio buffer,

  1. Take an FFT, x_fft, of the audio buffer.

  2. Compute a melspectrum from the x_fft.

  3. Print a string, s, where s[i] is '*' wherever melspectrum[i] is above a threshold.

From here, you can manipulate this basic example to do more sophisticated real-time processing, e.g. involving machine learning models.