Soundscape Attribute

Soundscape attributes research focuses on understanding and quantifying human perception of acoustic environments, aiming to improve soundscape quality and management. Current research employs various methods, including AI-driven models like convolutional neural networks and large language models, to analyze soundscapes, predict listener responses (e.g., pleasantness, annoyance), and even automatically enhance them using sound masking techniques. This work is significant for advancing urban planning, environmental monitoring, and the development of more accurate and efficient soundscape assessment tools, ultimately contributing to healthier and more enjoyable living environments.