This work proposes a method to predict the sound absorption coefficient of finite porous
absorbers using a residual neural network and a single-layer microphone array. The goal is …

Interior acoustic problems require accurately representing the boundary conditions of all
acoustically interacting surfaces to achieve precise acoustic predictions. The complex …

Spatial sound field interpolation relies on suitable models to conform to available
measurements and predict the sound field in the domain of interest. A suitable model can be …

This paper presents a free-field method for inverse estimation of acoustic porous material
parameters from sound pressure measurements above small rectangular samples. The finite …

The area-averaged effective sound absorption coefficient (SAC) of a rigid-backed
homogeneous porous material subjected to a monopole excitation is calculated as the …

Estimating the sound absorption in situ relies on accurately describing the measured sound
field. Evidence suggests that modeling the reflection of impinging spherical waves is …

Este artigo apresenta o desenvolvimento de um escâner automatizado para a tomada
sequencial de medições de resposta ao impulso. O sistema usa o mesmo tipo de tecnologia …

This paper introduces a method for estimating the sound absorption coefficient of a large
panel of absorbing material from measurements using a microphone array. The method …

The validity of using a neural network to predict sound absorption coefficients of finite porous
materials is tested with experimental data with a flush-mounted glass wool sample on a …

According to Brandão (2016), room acoustics is an area of the overall study of sound that
involves the interaction of the sound inside closed environments. The behaviour of the …