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Room Acoustics:

Room acoustics is the study of how sound waves interact within an enclosed space, affecting the quality and clarity of sound. Factors like the size, shape, and materials in the room can influence sound reflections, absorption, and diffusion, ultimately shaping the auditory experience.

Active Projects

Projects

Virtual Building Acoustics: Building Acoustics Auralization with Contextual and Interactive Features

This proposal aims to develop a Virtual Building Acoustics platform that integrates auralization (the process of rendering sound fields in 3D virtual space) with contextual and interactive features to create a more immersive and dynamic simulation experience. This will allow architects, engineers, and building stakeholders to virtually explore and evaluate the acoustic performance of their designs in real-time before construction, offering a much deeper level of engagement with the design process.

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Acoustic simulation and analysis of open plan offices to Improve Speech Privacy Condition

The modern workplace has increasingly adopted open-plan office designs due to their perceived benefits in collaboration, space efficiency, and cost-effectiveness. However, one significant drawback of open office layouts is the lack of speech privacy, which leads to distractions, reduced productivity, and compromised confidentiality. Speech privacy, particularly in shared workspaces, has become a crucial issue, affecting employee well-being and organizational performance.
In open-plan offices, the lack of physical barriers between workstations results in high sound transmission, causing speech and noise from conversations to travel freely across the space. This lack of speech privacy can lead to a variety of problems, including: Distraction and loss of focus; Confidentiality issues; Decreased well-being and productivity.
This project proposes to conduct an acoustic simulation and analysis of open-plan office environments to improve speech privacy conditions. The objective is to analyse the existing acoustic environment, model the effects of various design interventions, and recommend optimal solutions to enhance speech privacy. By addressing the acoustic challenges, the study will improve worker comfort, reduce distractions, and create a more conducive work environment.

Prediction of room acoustical parameters using deep learning

The prediction of room acoustical parameters using deep learning is a growing field that leverages artificial intelligence to estimate acoustic characteristics like reverberation time (RT), clarity (C80), and sound pressure levels (SPL) in various environments. Unlike traditional simulation methods such as ray tracing or the finite element method, deep learning models can learn patterns from large datasets of measured or simulated acoustical data.

Web-Based Python Tool for Room Acoustics Analysis

This proposal aims to develop a web-based Python tool for room acoustics analysis, providing an accessible platform for users to simulate and optimize room acoustics without the need for specialized software installations. The tool will be designed to be user-friendly and versatile, allowing users to analyze and visualize key acoustic parameters such as reverberation time (RT60), sound pressure levels (SPL), and sound absorption coefficients in various room configurations.
The key objectives of this web-based room acoustics tool are:
Ease of Access: Provide an intuitive, web-based platform for analyzing room acoustics, eliminating the need for specialized software installation.
Acoustic Parameter Calculation: Enable users to calculate important room acoustic metrics such as Reverberation Time (RT60), Energy Decay Curves (EDCs), Sound Pressure Levels (SPL), Sound Absorption Coefficient, and Speech Transmission Index (STI).
Room Geometry Input: Allow users to input room dimensions, materials, and other properties to create a 3D model of their space for acoustic analysis.
Visualization Tools: Provide graphical and 3D visualization of the acoustic performance of the room, allowing users to understand sound distribution, reverberation, and absorption in real-time.
Customizable Material Library: Include a database of common construction materials with pre-defined absorption coefficients, while also allowing users to input custom materials and properties.
Exportable Reports: Offer detailed analysis reports that can be exported as PDFs or spreadsheets, summarizing key acoustic metrics for use in design and documentation.