Tom Barker

According to our database, Tom Barker authored at least 16 papers between 2009 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Intelligent Assistive Sensors and Smart Systems for the Control and Analysis of Driver Reaction Times.

David A. Sanders, Malik Haddad, Giles Tewkesbury, Tom Barker, Martin Langner, Alexander E. Gegov

Proceedings of the Advances in Intelligent Systems Research and Innovation, 2022

2020

Intelligent Energy Management of Compressed Air Systems.

Mohamad Thabet, David A. Sanders, Victor M. Becerra, Giles Tewkesbury, Malik Haddad, Tom Barker

Proceedings of the 10th IEEE International Conference on Intelligent Systems, 2020

Simple Expert System for Intelligent Control and HCI for a Wheelchair fitted with Ultrasonic Sensors.

David A. Sanders, Malik Haddad, Giles Eric Tewkesbury, Mohamad Thabet, Peter Osagie Omoarebun, Tom Barker

Proceedings of the 10th IEEE International Conference on Intelligent Systems, 2020

Management of Compressed Air to Reduce Energy Consumption Using Intelligent Systems.

Mohamad Thabet, David A. Sanders, Malik Haddad, Nils Bausch, Giles Tewkesbury, Victor M. Becerra, Tom Barker, Jake Piner

Proceedings of the Intelligent Systems and Applications, 2020

2017

Low latency sound source separation using convolutional recurrent neural networks.

Gaurav Naithani, Tom Barker, Giambattista Parascandolo, Lars Bramslow, Niels Henrik Pontoppidan, Tuomas Virtanen

Proceedings of the 2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2017

2016

Blind Separation of Audio Mixtures Through Nonnegative Tensor Factorization of Modulation Spectrograms.

Tom Barker, Tuomas Virtanen

IEEE ACM Trans. Audio Speech Lang. Process., 2016

Low-latency sound source separation using deep neural networks.

Gaurav Naithani, Giambattista Parascandolo, Tom Barker, Niels Henrik Pontoppidan, Tuomas Virtanen

Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

2015

Low-latency sound-source-separation using non-negative matrix factorisation with coupled analysis and synthesis dictionaries.

Tom Barker, Tuomas Virtanen, Niels Henrik Pontoppidan

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014

Exemplar-based noise robust automatic speech recognition using modulation spectrogram features.

Deepak Baby, Tuomas Virtanen, Jort F. Gemmeke, Tom Barker, Hugo Van hamme

Proceedings of the 2014 IEEE Spoken Language Technology Workshop, 2014

Modelling primitive streaming of simple tone sequences through factorisation of modulation pattern tensors.

Tom Barker, Hugo Van hamme, Tuomas Virtanen

Proceedings of the 15th Annual Conference of the International Speech Communication Association, 2014

Semi-supervised non-negative tensor factorisation of modulation spectrograms for monaural speech separation.

Tom Barker, Tuomas Virtanen

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Ultrasound-coupled semi-supervised nonnegative matrix factorisation for speech enhancement.

Tom Barker, Tuomas Virtanen, Olivier Delhomme

Proceedings of the IEEE International Conference on Acoustics, 2014

Coupled dictionary training for exemplar-based speech enhancement.

Deepak Baby, Tuomas Virtanen, Tom Barker, Hugo Van hamme

Proceedings of the IEEE International Conference on Acoustics, 2014

2013

Non-negative tensor factorisation of modulation spectrograms for monaural sound source separation.

Tom Barker, Tuomas Virtanen

Proceedings of the 14th Annual Conference of the International Speech Communication Association, 2013

2010

Technological Change: Educating for Extreme Collaboration.

Vasilije Kokotovich, Tom Barker

Proceedings of the Cooperative Design, Visualization, and Engineering, 2010

2009

Investigating political and demographic factors in crowd based interfaces.

Tom Barker, Matthias Hank Haeusler, Frank Maguire, Jason E. McDermott

Proceedings of the 21st Australasian Computer-Human Interaction Conference, 2009