Computational auditory scene analysis

Computational Auditory Scene Analysis (CASA) is an interdisciplinary field that focuses on understanding how sounds in an auditory environment can be organized and interpreted. It blends concepts from psychology, neuroscience, acoustics, and computer science to model how humans and machines perceive, analyze, and separate different sound sources in complex auditory scenes. Key aspects of CASA include: 1. **Sound Source Separation**: This is the process of isolating individual sound sources from a mixture of sounds.