Tom Barker
Title
Cited by
Cited by
Year
Non-negative tensor factorisation of modulation spectrograms for monaural sound source separation.
T Barker, T Virtanen
INTERSPEECH 2813, 827-831, 2013
452013
Low latency sound source separation using convolutional recurrent neural networks
G Naithani, T Barker, G Parascandolo, L Bramsl, NH Pontoppidan, ...
2017 IEEE Workshop on Applications of Signal Processing to Audio andá…, 2017
192017
Coupled dictionary training for exemplar-based speech enhancement
D Baby, T Virtanen, T Barker
2014 IEEE International Conference on Acoustics, Speech and Signalá…, 2014
182014
Coupled dictionary training for exemplar-based speech enhancement
D Baby, T Virtanen, T Barker
2014 IEEE International Conference on Acoustics, Speech and Signalá…, 2014
182014
Blind Separation of Audio Mixtures through Nonnegative Tensor Factorisation of Modulation Spectograms
T Barker, T Virtanen
IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2016
132016
Low-latency sound-source-separation using non-negative matrix factorisation with coupled analysis and synthesis dictionaries
T Barker, T Virtanen, NH Pontoppidan
2015 IEEE International Conference on Acoustics, Speech and Signalá…, 2015
122015
Low-latency sound source separation using deep neural networks
G Naithani, G Parascandolo, T Barker, NH Pontoppidan, T Virtanen
2016 IEEE Global Conference on Signal and Information Processing (GlobalSIPá…, 2016
112016
Improving competing voices segregation for hearing impaired listeners using a low-latency deep neural network algorithm
L Bramsl°w, G Naithani, A Hafez, T Barker, NH Pontoppidan, T Virtanen
The Journal of the Acoustical Society of America 144 (1), 172-185, 2018
72018
Semi-supervised non-negative tensor factorisation of modulation spectrograms for monaural speech separation
T Barker, T Virtanen
2014 International Joint Conference on Neural Networks (IJCNN), 3556-3561, 2014
72014
Exemplar-based noise robust automatic speech recognition using modulation spectrogram features
D Baby, T Virtanen, JF Gemmeke, T Barker
2014 IEEE Spoken Language Technology Workshop (SLT), 519-524, 2014
42014
Real-time auralisation system for virtual microphone positioning
T Barker, G Campos, P Dias, J Vieira, C Mendonša, JA Santos
42012
Ultrasound-coupled Semi-supervised Nonnegative Matrix Factorisation for Speech Enhancement
T Barker, T Virtanen, O Delhomme
ICASSP 2014, 2014
32014
Reflection orders and auditory distance
C Mendonša, J Lamas, T Barker, G Campos, P Dias, V Pulkki, C Silva, ...
Proceedings of Meetings on Acoustics ICA2013 19 (1), 050041, 2013
22013
Non-negative factorisation techniques for sound source separation
T Barker
Tampere University of Technology, 2017
12017
Separation of Known Sources Using Non-negative Spectrogram Factorisation
T Virtanen, T Barker
Audio Source Separation, 25-48, 2018
2018
2016 Index IEEE/ACM Transactions on Audio, Speech, and Language Processing Vol. 24
S Abdul-Rauf, WH Abdulla, SI Adalbjornsson, M Adeli, K Adiloglu, ...
IEEE/ACM Transactions on Audio, Speech, and Language Processing 24 (12), 2555, 2016
2016
Modelling Primitive Streaming of Simple Tone Sequences Through Factorisation of Modulation Pattern Tensors
T Barker, H Van Hamme, T Virtanen
Fifteenth Annual Conference of the International Speech Communicationá…, 2014
2014
Evaluation of the benefit of neural network based speech separation algorithms with hearing impaired listeners
G Naithani, T Barker, G Parascandalo, L Bramsl°w, NH Pontoppidan, ...
Long-Term SNR Estimation of Speech Signals in Known and Unknown Channel Conditions........................................................................................ Pá…
N Moritz, B Kollmeier, J AnemŘller, M Krawczyk-Becker, T Gerkmann, ...
Separating known competing voices for people with hearing loss
NH Pontoppidan, M Vatti, R Rossing, T Barker, T Virtanen
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