ahogg
Lecturer/Assistant Professor in Computer Science at the Centre for Digital Music (C4DM) at Queen Mary University of London
Imperial College LondonLondon
ahogg's Stars
ahogg/HRTF-upsampling-with-a-generative-adversarial-network-using-a-gnomonic-equiangular-projection
madelinehjenkins/HRTF-GANs
Using GANs to interpolate Head Related Transfer Functions
jpauwels/hartufo
A Python toolkit for data-driven HRTF research
isaacengel/BinauralSH
HRTFs, spherical harmonics and binaural rendering in Matlab
facebookresearch/EasyComDataset
The Easy Communications (EasyCom) dataset is a world-first dataset designed to help mitigate the *cocktail party effect* from an augmented-reality (AR) -motivated multi-sensor egocentric world view.
EE2-SS-LAB/Laboratory_Coursework_2021
3DTune-In/3dti_AudioToolkit
3D Tune-In Toolkit is a custom open-source C++ library developed within the EU-funded project 3D Tune-In. The Toolkit provides a high level of realism and immersiveness within binaural 3D audio simulations, while allowing for the emulation of hearing aid devices and of different typologies of hearing loss.
rlabbe/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
ahogg/Overlapping_speaker_segmentation_using_multiple_hypothesis_tracking_of_fundamental_frequency
jonperdomo/openmht
Python module for multiple hypothesis tracking.
swm1718/pyDERCalc
ahogg/hogg2019-icassp-paper
Speaker change detection using fundamental frequency with application to multi-talker segmentation
morriswmz/doatools.py
A simple library for theoretical research on direction-of-arrival (DOA) estimation in array signal processing.