
- #Audio visualizer program for streaming how to
- #Audio visualizer program for streaming for mac osx
- #Audio visualizer program for streaming install
- #Audio visualizer program for streaming code
#Audio visualizer program for streaming how to


#Audio visualizer program for streaming code
The code to switch between the two sound interfaces is in the _init_ function of the Stream_Analyzer class.Tested on Ubuntu 18.04 with sounddevice version 0.3.15.
#Audio visualizer program for streaming install
#Audio visualizer program for streaming for mac osx
For Mac OSX (tested on Catalina 10.15.4), please make sure you run with Python downloaded from ( pygame doesn't work well with the default/Homebrew Python)Īlternatively to pyaudio, you can use sounddevice which might be more compatible with Windows/Mac.Other platforms like Mac/Windows should work if PyGame can find your display and Python finds your audio card (these can be tricky with WSL).If something doesn't work, please first try to fix it yourself and post an issue/solution when appropriate! I developped this code on my local machine -> it has not been properly tested on other setups.

Sudo apt install libasound-dev portaudio19-dev libportaudio2 libportaudiocpp0 (tested on Ubuntu) If you're having trouble installing PyAudio, you might want to When visualize is enabled, the visualizer displays these FFT features in realtime using a PyGame GUI (I made two display modes: 2D and 3D).get_audio_features(), the stream_analyzer, applies a Fast-Fourier-Transform to the most recent audio window in the buffer Reads data from this stream many times per second (eg 1000 updates per second) and stores that data in a fifo buffer.Starts a stream_reader that pulls live audio data from any source using PyAudio (soundcard, microphone.

A simple package to do realtime audio analysis in native Python, using PyAudio and Numpy to extract and visualize FFT features from a live audio stream.
