Environmental Sound Classification is a process that involves identifying and categorizing sounds from the environment. This can include sounds from nature, such as birds, water, and wind, as well as human-made noises like traffic and construction. The goal is to analyze these sounds to understand their sources and characteristics. This classification is often achieved using machine learning techniques, where algorithms are trained on labeled sound data. By processing audio recordings, these systems can automatically recognize and classify different environmental sounds, which can be useful in fields like wildlife monitoring, urban planning, and acoustic ecology.