Compute emotion expression-related voice features
How to use emvoice
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.
Getting started
Take a look at the examples to get started with emvoice.
Installation
emvoice requires Python >=3.7 and can be installed via pip:
pip install emvoice
To install the lastet development version from GitHub repository, do:
git clone https://github.com/mexca/emvoice.git
cd emvoice
python -m pip install .
Documentation
The documentation of emvoice can be found on Read the Docs.
Contributing
If you want to contribute to the development of emvoice, have a look at the contribution guidelines.
Credits
This package was created with Cookiecutter and the NLeSC/python-template.
1 maintainer
Metadata
1 maintainer
Release files for emvoice 0.1.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| emvoice-0.1.1.tar.gz | 24.4 kB | Without provenance | Details for emvoice-0.1.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| emvoice-0.1.1-py3-none-any.whl | Python 3 | none | any | Details for emvoice-0.1.1-py3-none-any.whl |
Total release size: 47.8 kB
Release files / emvoice-0.1.1.tar.gz
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|---|---|
| Size | 24.4 kB |
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| Download URL | emvoice-0.1.1-py3-none-any.whl |
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| Size | 23.3 kB |
| Tags | Python 3 |
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