Cadenza Challenge

The Cadenza Challenge focuses on improving music listening experiences for individuals with hearing loss through machine learning-based audio processing. Current research centers on developing and refining source separation and remixing techniques, often employing deep learning models like transformer networks and U-Nets, to optimize the balance and clarity of musical components for personalized hearing aid settings. These challenges provide a standardized benchmark for evaluating algorithms using metrics such as HAAQI, fostering advancements in audio processing and potentially leading to more inclusive and enjoyable music listening for a wider population.