15 entries « 1 of 3 »


Aidan Hogg, Mads Jenkins, He Liu, Isaac Squires, Sam Cooper and Lorenzo Picinali

HRTF Upsampling with a Generative Adversarial Network using a Gnomonic Equiangular Projection

IEEE/ACM Transactions on Audio Speech and Language Processing, 2024.

Paper | Code

Journal Article


Simon McKnight, Aidan Hogg, Vincent Neo and Patrick Naylor

Uncertainty Quantification in Machine Learning for Joint Speaker Diarization and Identification

arXiv:2312.16763, 2023.



Aidan Hogg, He Liu, Mads Jenkins and Lorenzo Picinali

Exploring the Impact of Transfer Learning on GAN-Based HRTF Upsampling

EAA Forum Acusticum, European Congress on Acoustics, 2023.

Paper | Presentation | Video | Code


Isaac Engel, Rapolas Daugintis, Thibault Vicente, Aidan Hogg, Johan Pauwels, Arnaud Tournier and Lorenzo Picinali

The SONICOM HRTF dataset

Journal of the Audio Engineering Society (AES), 2023.

Paper | Dataset

Journal Article


Simon McKnight, Aidan Hogg, Vincent Neo and Patrick Naylor

Studying Human-Based Speaker Diarization and Comparing to State-Of-The-Art Systems

Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2022.

Paper | Presentation


Vincent Neo, Stephan Weiss, Simon McKnight, Aidan Hogg and Patrick Naylor

Polynomial Eigenvalue Decomposition-Based Target Speaker Voice Activity Detection in the Presence of Competing Talkers

International Workshop on Acoustic Signal Enhancement (IWAENC), 2022.

Paper | Poster | Demo

15 entries « 1 of 3 »