Spatial audio has been studied for several decades, but has seen much renewed interest
recently due to advances in both software and hardware for capture and playback, and the …

Previously proposed methods for estimating acoustic parameters from reverberant, noisy
speech signals exhibit insufficient performance under changing acoustic conditions. A data …

Modeling room acoustics in a real-world settings involves some degree of blind parameter
estimation from noisy and reverberant audio. Modern approaches leverage convolutional …

Blind acoustic parameter estimation consists in inferring the acoustic properties of an
environment from recordings of unknown sound sources. Recent works in this area have …

The speech transmission index (STI) and room acoustic parameters (RAPs) are essential
metrics for assessing speech quality and predicting listening difficulty in a sound field …

A study is presented in which a contrastive learning approach is used to extract low-
dimensional representations of the acoustic environment from single-channel, reverberant …

For an accurate representation of a virtual sound source in an Augmented Reality
environment, it is crucial to understand the acoustic properties of the current room where the …

Rendering perceptually plausible sound propagation in augmented reality (AR) requires
matching the acoustic properties of the virtual signals with those of the listening space in …

Audio recordings may provide important evidence in criminal investigations. One such case
is the forensic association of the recorded audio to the recording location. For example, a …

In recent years, dynamic parameterization of acoustic environments has raised increasing
attention in the field of audio processing. One of the key parameters that characterize the …