emvoice is a pure Python package for computing emotion expression-related features from speech signals. It uses similar algorithms as in Praat and openSMILE but also includes more recent methods from the librosa package. Currently, most low-level descriptor features from the extended Geneva Minimalistic Acousting Parameter Set (eGeMAPS) are implemented.
Given that it is entirely written in Python, it is easier to include emvoice in other Python-based applications, especially if they use numpy or scipy.
Take a look at the examples to get started with emvoice.
emvoice requires Python >=3.7 and can be installed via pip:
pip install emvoiceTo install the lastet development version from GitHub repository, do:
git clone https://github.com/mexca/emvoice.git
cd emvoice
python -m pip install .The documentation of emvoice can be found on Read the Docs.
If you want to contribute to the development of emvoice, have a look at the contribution guidelines.
This package was created with Cookiecutter and the NLeSC/python-template.