Xuyi Hu, Jian Li, Lorenzo Picinali and Aidan Hogg
HRTF Spatial Upsampling in the Spherical Harmonics Domain Employing a Generative Adversarial Network
International Conference on Digital Audio Effects (DAFx), 2024.
Conference@conference{Hu2024,
title = {HRTF Spatial Upsampling in the Spherical Harmonics Domain Employing a Generative Adversarial Network },
author = {Xuyi Hu and Jian Li and Lorenzo Picinali and Aidan Hogg},
url = {https://www.researchgate.net/publication/380605274_HRTF_spatial_upsampling_in_the_spherical_harmonics_domain_employing_a_generative_adversarial_network, Paper},
year = {2024},
date = {2024-09-03},
urldate = {2024-09-03},
publisher = {International Conference on Digital Audio Effects (DAFx)},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
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.
Journal Article@article{Hogg2023a,
title = {HRTF Upsampling with a Generative Adversarial Network using a Gnomonic Equiangular Projection},
author = {Aidan Hogg and Mads Jenkins and He Liu and Isaac Squires and Sam Cooper and Lorenzo Picinali},
url = {https://ieeexplore.ieee.org/document/10465588, Paper
https://github.com/ahogg/HRTF-upsampling-with-a-generative-adversarial-network-using-a-gnomonic-equiangular-projection, Code},
year = {2024},
date = {2024-06-09},
urldate = {2024-06-09},
journal = {IEEE/ACM Transactions on Audio Speech and Language Processing},
keywords = {},
pubstate = {published},
tppubtype = {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.
arXiv@arXiv{McKnight2023,
title = {Uncertainty Quantification in Machine Learning for Joint Speaker Diarization and Identification},
author = {Simon McKnight and Aidan Hogg and Vincent Neo and Patrick Naylor},
url = {https://doi.org/10.48550/arXiv.2312.16763, Paper},
year = {2023},
date = {2023-12-30},
urldate = {2023-12-30},
howpublished = {arXiv:2312.16763},
keywords = {},
pubstate = {published},
tppubtype = {arXiv}
}
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
Conference@conference{Hogg2023b,
title = {Exploring the Impact of Transfer Learning on GAN-Based HRTF Upsampling},
author = {Aidan Hogg and He Liu and Mads Jenkins and Lorenzo Picinali},
url = {https://www.researchgate.net/publication/373797489_Exploring_the_impact_of_transfer_learning_on_GAN-based_HRTF_upsampling, Paper
https://aidanhogg.uk/wp-content/uploads/2023/09/000266-Hogg-A11-04-Exploring-the-impact.pdf, Presentation
https://youtu.be/ejz5GHcP1nM, Video
https://github.com/ahogg/HRTF-upsampling-with-a-generative-adversarial-network-using-a-gnomonic-equiangular-projection, Code
},
year = {2023},
date = {2023-09-10},
urldate = {2023-09-10},
publisher = {EAA Forum Acusticum, European Congress on Acoustics},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
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.
Journal Article@article{Engel2023,
title = {The SONICOM HRTF dataset},
author = {Isaac Engel and Rapolas Daugintis and Thibault Vicente and Aidan Hogg and Johan Pauwels and Arnaud Tournier and Lorenzo Picinali},
url = {https://doi.org/10.17743/jaes.2022.0066, Paper
https://www.axdesign.co.uk/tools-and-devices/sonicom-hrtf-dataset, Dataset
},
year = {2023},
date = {2023-05-01},
urldate = {2023-05-01},
journal = {Journal of the Audio Engineering Society (AES)},
keywords = {},
pubstate = {published},
tppubtype = {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.
Conference@conference{McKnight2022,
title = {Studying Human-Based Speaker Diarization and Comparing to State-Of-The-Art Systems},
author = {Simon McKnight and Aidan Hogg and Vincent Neo and Patrick Naylor},
url = {https://ieeexplore.ieee.org/document/9979811, Paper
https://aidanhogg.uk/wp-content/uploads/2023/01/221105_Slides_APSIPA2022.pdf, Presentation},
year = {2022},
date = {2022-11-07},
urldate = {2022-11-07},
publisher = {Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}