Imperial College London

Dr Aidan O. T. Hogg

Faculty of EngineeringDyson School of Design Engineering

Honorary Research Associate
 
 
 
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Contact

 

a.hogg Website

 
 
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Location

 

RCS1 214Royal College of ScienceSouth Kensington Campus

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Summary

 

Summary

I am currently a Lecturer in Computer Science at the Centre for Digital Music (C4DM) at Queen Mary University of London and an Honorary Research Associate at Imperial College London. My research focuses on using deep learning for spatial acoustics and immersive audio. Other research interests include statistical signal processing for audio applications.


Selected Publications

Journal Articles

Hogg A, Evers C, Moore A, et al., 2021, Overlapping speaker segmentation using multiple hypothesis tracking of fundamental frequency, Ieee/acm Transactions on Audio, Speech and Language Processing, Vol:29, ISSN:2329-9290, Pages:1479-1490

Conference

Hogg A, Neo V, Weiss S, et al., 2021, A polynomial eigenvalue decomposition MUSIC approach for broadband sound source localization, IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), IEEE, Pages:326-330

Hogg AOT, Evers C, Naylor PA, 2021, Multichannel Overlapping Speaker Segmentation Using Multiple Hypothesis Tracking Of Acoustic And Spatial Features, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE

Hogg AOT, Evers C, Naylor PA, 2019, Multiple Hypothesis Tracking for Overlapping Speaker Segmentation, 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), IEEE

Hogg AOT, Evers C, Naylor PA, 2019, Speaker Change Detection Using Fundamental Frequency with Application to Multi-talker Segmentation, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE

More Publications