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.

Apr 2, 2025 · Realtime audio analysis in Python, using PyAudio and Numpy to extract and visualize FFT features from streaming audio. Turn an image into sound whose spectrogram looks like the image. A command-line tool to play songs (or any audio, really) in the terminal. 🔥 Imagine ShaderToy, on a Manim-like architecture. That's ShaderFlow.

Jul 28, 2015 · All examples I found using PyAudio rely on writing the NumPy array to a WAV file first, but I'd like to have a preview function that just spits out the NumPy array to the audio output. Should be cross-platform, too. I'm using Python 3 (Anaconda distribution).

Sep 24, 2017 · I have been trying to do real-time audio signal processing using 'pyAudio' module in python. What I did was a simple case of reading audio data from microphone and play it via headphones. I tried w...

Feb 21, 2025 · Learn real-time audio processing in Python: Guide to PyAudio, Librosa, and DSP techniques for building audio applications. Master audio I/O, filtering, and analysis with practical code examples. #AudioProcessing #Python #DSP.

Jan 11, 2023 · Recently I’ve been playing a lot with audio in python so I decided to create a quick guide on how to visualize audio in terminal using python (I’ve also created a audiovisualizer package...

6 days ago · To visualize audio in real-time, you need to capture audio data. The SoundDevice library allows you to record audio from your microphone. Here’s a simple example of how to capture audio data: print("Recording...") print("Recording complete.") This code records audio for a specified duration and stores it in the audio_data variable.

Jun 10, 2021 · You want to visualize audio in realtime with Python and find the whole thing intimidating (like I did !) or you might be having problems integrating complex libraries and want to hear a...

Dec 8, 2022 · I found the exact library I needed to take the complexity out: librosa. There's also a great intro tutorial here: https://medium.com/analytics-vidhya/how-to-create-a-music-visualizer-7fad401f5a69 - I recommend looking here for people looking to start that don't want to worry too much about the math/physics just yet.

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.