AUDIO EXPERIENCE DESIGN

Imperial College London

SONICOM

SONICOM is a research project funded by the EC under the FET-Proact scheme. It will revolutionise the way we interact socially within AR/VR environments and applications by leveraging methods from Artificial Intelligence (AI) to design a new generation of immersive audio technologies and techniques.

Visit project site

Team

Lorenzo Picinali

Academic

Aidan Hogg

Visiting Academic / Researcher

Thibault Vicente

Alumni

Rapolas Daugintis

PhD Student

Isaac Engel Alonso-Martinez

Alumni

Johan Pauwels

Visiting Academic / Researcher

Vincent Martin

Alumni

Julie Meyer

Visiting Academic / Researcher

Katarina Poole

Research Fellow / Associate

Michele Geronazzo

Visiting Academic / Researcher

Related Publications

On the generalization of accommodation to head-related transfer functions

Julie Meyer and Lorenzo Picinali
January 22, 2025
Journal of the Acoustical Society of America
Volume 
157
Issue 
1
Pages 
420–432

On the accuracy of finite-difference time-domain simulations of head-related transfer functions as a function of model complexity

Julie Meyer, Sebastian Pepelita and Lorenzo Picinali
October 30, 2024
Applied Acoustics
Volume 
228
Issue 
Pages 
Elsevier

HRTF spatial upsampling in the spherical harmonics domain employing a generative adversarial network

Xuyi Hu, Jian Li, Lorenzo Picinali, Aidan O. T. Hogg
September 3, 2024
Proceedings of the 27th International Conference on Digital Audio Effects (DAFx24)
Volume 
Issue 
Pages 
396-403

Effects of binaural rendering personalisation and reverberation on speech-on-speech masking

Rapolas Daugintis, Benoit Alary, Michele Geronazzo, Lorenzo Picinali
August 5, 2024
2024 AES International Conference on Audio for Virtual and Augmented Reality (AVAR)
Volume 
Issue 
Pages 
Audio Engineering Society

HRTF Upsampling With a Generative Adversarial Network Using a Gnomonic Equiangular Projection

Aidan O. T. Hogg, Mads Jenkins, He Liu, Isaac Squires, Samuel J. Cooper, Lorenzo Picinali
March 11, 2024
IEEE/ACM Transactions on Audio, Speech, and Language Processing
Volume 
32
Issue 
Pages 
2085-2099

Spatial release from masking in the median plane with non-native speakers using individual and mannequin head related transfer functions

Daniel González-Toledo, María Cuevas-Rodríguez, Thibault Vicente, Lorenzo Picinali, Luis Molina-Tanco, Arcadio Reyes-Lecuona
January 16, 2024
The Journal of the Acoustical Society of America
Volume 
155
Issue 
1
Pages 
284–293
Acoustical Society of America

HRTF Upsampling With a Generative Adversarial Network Using a Gnomonic Equiangular Projection

Aidan O. T. Hogg, Mads Jenkins, He Liu, Isaac Squires, Samuel J. Cooper, Lorenzo Picinali
March 11, 2024
IEEE/ACM Transactions on Audio, Speech, and Language Processing
Volume 
32
Issue 
Pages 
2085 - 2099
IEEE

On the Relevance of the Differences Between HRTF Measurement Setups for Machine Learning

Johan Pauwels, Lorenzo Picinali
May 5, 2023
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing
Volume 
Issue 
Pages 
IEEE

Classifying Non-Individual Head-Related Transfer Functions with a Computational Auditory Model: Calibration and Metrics

Rapolas Daugintis, Roberto Barumerli, Lorenzo Picinali, Michele Geronazzo
May 5, 2023
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing
Volume 
Issue 
Pages 
IEEE

The SONICOM HRTF Dataset

Isaac Engel, Rapolas Daugintis, Thibault Vicente, Aidan O. T. Hogg, Johan Pauwels, Arnaud J. Tournier, Lorenzo Picinali
May 1, 2023
Journal of Audio Engineering Society
Volume 
71
Issue 
5
Pages 
241-253
Audio Engineering Society

Spatial up-sampling of HRTF sets using generative adversarial networks: A pilot study

Pongsakorn Siripornpitak, Isaac Engel, Isaac Squires, Samuel J. Cooper, Lorenzo Picinali
August 23, 2022
Frontiers in Signal Processing
Volume 
2
Issue 
Pages 

Reverberation and its Binaural Reproduction: The Trade-off between Computational Efficiency and Perceived Quality

Isaac Engel, Lorenzo Picinali
January 21, 2022
Advances in Fundamental and Applied Research on Spatial Audio
Volume 
Issue 
Pages 

Related Tools & Devices

Spatial Audio Metrics (SAM)

A Python toolbox for HRTF numerical analysis, visualisation and comparison
find out more

HRTF Explorer

A GUI based in Python that uses the Binaural Rendering Toolbox (BRT) to deliver spatialised audio over headphones.
find out more

SONICOM HRTF Dataset

Here you will be able to download the first release of the SONICOM HRTF Dataset
find out more