Computational Auditory Scene Analysis (CASA) is a field of study that focuses on developing computational models to mimic the human auditory system's ability to separate and interpret sounds from complex auditory scenes. It aims to understand and replicate how humans can focus on a single sound source in a noisy environment, which has significant implications for improving hearing aids, speech recognition systems, and other audio processing technologies.