I am a Research Associate in spatial audio and virtual reality at Imperial College London (www.axdesign.co.uk) with developed professional interests in 3D binaural sound rendering, interactive applications for deaf and hard-of-hearing individuals, eco-acoustic monitoring and, more broadly, acoustical virtual and augmented reality.
I obtained an MEng degree in Electronic and Information Engineering (First-Class Honours) and a PhD from Imperial College London in 2017 and 2022, respectively. My PhD research focused on speaker segmentation, which aims to answer the question ‘Did the speaker change?’ in an audio recording.
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
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