Metadata-Version: 2.1
Name: ertk
Version: 2022.4.0
Summary: Tools for analysing emotion recognition models and processing datasets.
Home-page: https://github.com/Strong-AI-Lab/emotion
Author: Aaron Keesing
Author-email: akee511@aucklanduni.ac.nz
License: MIT
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Environment :: Console
Classifier: Environment :: GPU :: NVIDIA CUDA
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Topic :: Multimedia :: Sound/Audio :: Analysis
Classifier: Topic :: Multimedia :: Sound/Audio :: Speech
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Software Development
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE

![License: MIT](https://img.shields.io/github/license/Strong-AI-Lab/emotion)
![Version](https://img.shields.io/pypi/v/ertk)
![Python version](https://img.shields.io/pypi/pyversions/ertk)
![Python wheel](https://img.shields.io/pypi/wheel/ertk)

# ERTK: Emotion Recognition ToolKit
This is a Python library with utilities for processing emotional
speech datasets and training/testing models. There are also command-line
tools for common tasks.

## Installation
This project requires Python 3.7+. It is advised to run the scripts in a
Python virtual environment. One can be created with the command
```
python -m venv .venv
```
Then you can use this virtual environment:
```
. .venv/bin/activate
```

### Install from PyPI
You can install ERTK from [PyPI](https://pypi.org/project/ertk/) using
```
pip install ertk
```

### Install from repository
Alternatively you can clone this repository and install using the latest
commit:
```
pip install -r requirements.txt
pip install .
```
Or, if you want to develop continuously:
```
pip install -e .
```

## Using CLI tools
Upon installation, you should be able to use common tools using the CLI
applications `ertk_cli`, `ertk_dataset` and `ertk_utils`. Use the
`--help` option on each one to see what commands are available.


# Datasets
See [`datsets/README.md`](datasets/README.md) for more information about
the supported datasets and the required processing.

# Papers
Papers that we have published will have associated code in the `papers`
directory. See [`papers/README.md`](papers/README.md) for more
information about scripts for individual publications.


