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 …

Room response equalization aims at improving the sound reproduction in rooms by
applying advanced digital signal processing techniques to design an equalizer on the basis …

We present a new dataset called Real Acoustic Fields (RAF) that captures real acoustic
room data from multiple modalities. The dataset includes high-quality and densely captured …

We present a neural rendering approach for binaural sound synthesis that can produce
realistic and spatially accurate binaural sound in realtime. The network takes, as input, a …

First-order Ambisonics (FOA) recordings can be processed and reproduced over
headphones. They can be rotated to account for the listener's head orientation. However …

An audio system containing loudspeakers and microphones is the fundamental hardware for
voice-enabled devices, enabling voice interaction with mobile applications and smart …

We present a novel learning-based approach to estimate the direction-of-arrival (DOA) of a
sound source using a convolutional recurrent neural network (CRNN) trained via regression …

In recent years, there has been a national craze for metaverse concerts. However, existing
meta-universe concert efforts often focus on immersive visual experiences and lack …

The domain of spatial audio comprises methods for capturing, processing, and reproducing
audio content that contains spatial information. Data-based methods are those that operate …

This work presents a service for the improvement of cultural heritage experiences, which
exploits the advantages coming from the 5G paradigm. Indeed, in a scenario where many …