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Tom Barker
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Journal Articles
- 2016
- [j1]Tom Barker, Tuomas Virtanen:
Blind Separation of Audio Mixtures Through Nonnegative Tensor Factorization of Modulation Spectrograms. IEEE ACM Trans. Audio Speech Lang. Process. 24(12): 2377-2389 (2016)
Conference and Workshop Papers
- 2020
- [c14]Mohamad Thabet, David A. Sanders, Malik Haddad, Nils Bausch, Giles Tewkesbury, Victor M. Becerra, Tom Barker, Jake Piner:
Management of Compressed Air to Reduce Energy Consumption Using Intelligent Systems. IntelliSys (3) 2020: 206-217 - [c13]Mohamad Thabet, David A. Sanders, Victor M. Becerra, Giles Tewkesbury, Malik Haddad, Tom Barker:
Intelligent Energy Management of Compressed Air Systems. IEEE Conf. on Intelligent Systems 2020: 153-158 - [c12]David A. Sanders, Malik Haddad, Giles Eric Tewkesbury, Mohamad Thabet, Peter Osagie Omoarebun, Tom Barker:
Simple Expert System for Intelligent Control and HCI for a Wheelchair fitted with Ultrasonic Sensors. IEEE Conf. on Intelligent Systems 2020: 211-216 - 2017
- [c11]Gaurav Naithani, Tom Barker, Giambattista Parascandolo, Lars Bramslow, Niels Henrik Pontoppidan, Tuomas Virtanen:
Low latency sound source separation using convolutional recurrent neural networks. WASPAA 2017: 71-75 - 2016
- [c10]Gaurav Naithani, Giambattista Parascandolo, Tom Barker, Niels Henrik Pontoppidan, Tuomas Virtanen:
Low-latency sound source separation using deep neural networks. GlobalSIP 2016: 272-276 - 2015
- [c9]Tom Barker, Tuomas Virtanen, Niels Henrik Pontoppidan:
Low-latency sound-source-separation using non-negative matrix factorisation with coupled analysis and synthesis dictionaries. ICASSP 2015: 241-245 - 2014
- [c8]Tom Barker, Tuomas Virtanen, Olivier Delhomme:
Ultrasound-coupled semi-supervised nonnegative matrix factorisation for speech enhancement. ICASSP 2014: 2129-2133 - [c7]Deepak Baby, Tuomas Virtanen, Tom Barker, Hugo Van hamme:
Coupled dictionary training for exemplar-based speech enhancement. ICASSP 2014: 2883-2887 - [c6]Tom Barker, Tuomas Virtanen:
Semi-supervised non-negative tensor factorisation of modulation spectrograms for monaural speech separation. IJCNN 2014: 3556-3561 - [c5]Tom Barker, Hugo Van hamme, Tuomas Virtanen:
Modelling primitive streaming of simple tone sequences through factorisation of modulation pattern tensors. INTERSPEECH 2014: 1371-1375 - [c4]Deepak Baby, Tuomas Virtanen, Jort F. Gemmeke, Tom Barker, Hugo Van hamme:
Exemplar-based noise robust automatic speech recognition using modulation spectrogram features. SLT 2014: 519-524 - 2013
- [c3]Tom Barker, Tuomas Virtanen:
Non-negative tensor factorisation of modulation spectrograms for monaural sound source separation. INTERSPEECH 2013: 827-831 - 2010
- [c2]Vasilije Kokotovich, Tom Barker:
Technological Change: Educating for Extreme Collaboration. CDVE 2010: 161-169 - 2009
- [c1]Tom Barker, Matthias Hank Haeusler, Frank Maguire, Jason E. McDermott:
Investigating political and demographic factors in crowd based interfaces. OZCHI 2009: 413-416
Parts in Books or Collections
- 2022
- [p1]David A. Sanders, Malik Haddad, Giles Tewkesbury, Tom Barker, Martin Langner, Alexander E. Gegov:
Intelligent Assistive Sensors and Smart Systems for the Control and Analysis of Driver Reaction Times. Advances in Intelligent Systems Research and Innovation 2022: 185-203
Coauthor Index
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