Analyzing and Designing Complex Acoustic Environments: Computational and AI-Driven Approaches
Автор: The UK Acoustics Network
Загружено: 2025-03-26
Просмотров: 287
Описание:
Alaa Algargoosh, Virginia Tech
This talk discusses innovative methods for analyzing and designing acoustic environments to create spaces that enhance well-being and experience. It introduces the multiple convolution method for analyzing room modal response in spaces with complex geometry, addressing the limitations of traditional room mode calculations. This approach considers surface materials, sound source location, and frequency characteristics to identify amplified frequencies. The talk will also introduce the Sonic Sculpting project, which leverages sound as a primary tool for reconstructing and designing 3D environments using generative AI. Specifically, it applies machine learning to predict room geometry from an impulse response, offering a novel approach to architectural acoustic design, virtual environments, and video games. By integrating computational analysis and machine learning, this research aims to create supportive acoustic environments that enhance both functional and perceptual aspects of space—bridging architecture, acoustic technology, and human experience.
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