pyqtgraph-spectrographer

This is a simple app to display a live spectrogram from microphone input (including waveform and frequency domain).

Installation

conda

Assuming you have git cloned the repo and have a command prompt in the cloned directory, you can use conda to create an environment with all necessary dependencies:

>>> conda env create -f environment.yml

Note: I have developed this on MacOS and found out that using pyaudio (bindings for PortAudio) required additional steps such as installing PortAudio using brew. YMMV.

virtualenv + pip

You can also install dependencies for this project in a virtualenv using pip:

>>> python3 -m venv venv
>>> source venv/bin/activate
>>> python3 -m pip install -r requirements.txt

Note that on Ubuntu you might need to install the following packages beforehand: apt-get install python3-venv libasound-dev portaudio19-dev libportaudio2 libportaudiocpp0 python3-pyqtgraph.

Usage

From the root directory, activate the conda environment with the dependencies and run main.py

>>> conda activate spectrographer
>>> python main.py