We are organising a series of machine learning challenges to enhance hearing-aid signal processing and to better predict how people perceive speech-in-noise. For further details of the Clarity Project visit the Clarity project website, and for details of our latest challenge visit our challenge documentation site. You can contact the Clarity Team by email at claritychallengecontact@gmail.com.
In this repository, you will find code to support all Clarity Challenges, including baselines, toolkits, and systems from participants. We encourage you to make your system/model open source and contribute to this repository.
The 2nd Clarity Enhancement Challenge (CEC2) has launched! Take part🔥🔥🔥
# First clone the repo
git clone https://github.com/claritychallenge/clarity.git
cd clarity
# Second create & activate environment with conda, see https://docs.conda.io/projects/conda/en/latest/user-guide/install/index.html
conda create --name clarity python=3.8
conda activate clarity
# Third install requirements
pip install -r requirements.txt
# Last install with pip
pip install -e .Current challenge
Previous challenges
- CEC1: