ertk 2022.4.0

Tools for analysing emotion recognition models and processing datasets.

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 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 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 for more information about scripts for individual publications.