94 citations · 404 across the 41 of their papers we have counts for
7 papers · 1 filter
Distributed Network Privacy using Error Correcting Codes
Matt O'Connor, W. Bastiaan Kleijn
Most current distributed processing research deals with improving the flexibility and convergence speed of algorithms for networks of finite size with no constraints on information…
Approximated Orthonormal Normalisation in Training Neural Networks
Guoqiang Zhang, Kenta Niwa, W. B. Kleijn
Generalisation of a deep neural network (DNN) is one major concern when employing the deep learning approach for solving practical problems. In this paper we propose a new techniqu…
Generative Speech Enhancement Based on Cloned Networks
Michael Chinen, W. Bastiaan Kleijn, Felicia S. C. Lim +1
We propose to implement speech enhancement by the regeneration of clean speech from a salient representation extracted from the noisy signal. The network that extracts salient feat…
Salient Speech Representations Based on Cloned Networks
W. Bastiaan Kleijn, Felicia S. C. Lim, Michael Chinen +1
We define salient features as features that are shared by signals that are defined as being equivalent by a system designer. The definition allows the designer to contribute qualit…
The HSIC Bottleneck: Deep Learning without Back-Propagation
Wan-Duo Kurt Ma, J. P. Lewis, W. Bastiaan Kleijn
We introduce the HSIC (Hilbert-Schmidt independence criterion) bottleneck for training deep neural networks. The HSIC bottleneck is an alternative to the conventional cross-entropy…
Room Geometry Estimation from Room Impulse Responses using Convolutional Neural Networks
Wangyang Yu, W. Bastiaan Kleijn
We describe a new method to estimate the geometry of a room given room impulse responses. The method utilises convolutional neural networks to estimate the room geometry and uses t…