Scene Analysis

Scene analysis in audio focuses on computationally understanding and interpreting complex soundscapes, aiming to identify individual sound sources, their locations, and the overall acoustic environment. Current research emphasizes developing robust models, often employing convolutional and recurrent neural networks, transformers, and even integrating large language models for higher-level reasoning about spatial audio relationships, addressing challenges like reverberation, noise, and domain shifts across diverse recording conditions. These advancements have significant implications for applications such as sound source localization, acoustic scene classification, and improved human-computer interaction in smart environments.