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ORCIDAndrew J. R. Simpson
Person information
- affiliation: University of Surrey, Guildford, UK
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Books and Theses
- 2014
[b1]Andrew J. R. Simpson:
Selectivity and adaptation in the human auditory system. Queen Mary University of London, UK, 2014
Journal Articles
- 2017
- [j1]Emad M. Grais, Gerard Roma
, Andrew J. R. Simpson, Mark D. Plumbley:
Two-Stage Single-Channel Audio Source Separation Using Deep Neural Networks. IEEE ACM Trans. Audio Speech Lang. Process. 25(9): 1773-1783 (2017)
Conference and Workshop Papers
- 2017
- [c5]Andrew J. R. Simpson, Gerard Roma, Emad M. Grais, Russell D. Mason, Christopher Hummersone, Mark D. Plumbley:
Psychophysical Evaluation of Audio Source Separation Methods. LVA/ICA 2017: 211-221 - [c4]Emad M. Grais, Gerard Roma, Andrew J. R. Simpson, Mark D. Plumbley:
Discriminative Enhancement for Single Channel Audio Source Separation Using Deep Neural Networks. LVA/ICA 2017: 236-246 - 2016
- [c3]Andrew J. R. Simpson, Gerard Roma, Emad M. Grais, Russell D. Mason, Chris Hummersone, Antoine Liutkus, Mark D. Plumbley:
Evaluation of audio source separation models using hypothesis-driven non-parametric statistical methods. EUSIPCO 2016: 1763-1767 - [c2]Emad M. Grais, Gerard Roma, Andrew J. R. Simpson, Mark D. Plumbley:
Combining Mask Estimates for Single Channel Audio Source Separation Using Deep Neural Networks. INTERSPEECH 2016: 3339-3343 - 2015
- [c1]Andrew J. R. Simpson, Gerard Roma, Mark D. Plumbley:
Deep Karaoke: Extracting Vocals from Musical Mixtures Using a Convolutional Deep Neural Network. LVA/ICA 2015: 429-436
Informal and Other Publications
- 2016
- [i21]Andrew J. R. Simpson:
Hierarchical Conflict Propagation: Sequence Learning in a Recurrent Deep Neural Network. CoRR abs/1602.08118 (2016) - [i20]Emad M. Grais, Gerard Roma, Andrew J. R. Simpson, Mark D. Plumbley:
Discriminative Enhancement for Single Channel Audio Source Separation using Deep Neural Networks. CoRR abs/1609.01678 (2016) - 2015
- [i19]Andrew J. R. Simpson:
Over-Sampling in a Deep Neural Network. CoRR abs/1502.03648 (2015) - [i18]Andrew J. R. Simpson:
Abstract Learning via Demodulation in a Deep Neural Network. CoRR abs/1502.04042 (2015) - [i17]Andrew J. R. Simpson:
Deep Transform: Error Correction via Probabilistic Re-Synthesis. CoRR abs/1502.04617 (2015) - [i16]Andrew J. R. Simpson:
Deep Transform: Time-Domain Audio Error Correction via Probabilistic Re-Synthesis. CoRR abs/1503.05849 (2015) - [i15]Andrew J. R. Simpson:
Deep Transform: Cocktail Party Source Separation via Probabilistic Re-Synthesis. CoRR abs/1503.06046 (2015) - [i14]Andrew J. R. Simpson:
Probabilistic Binary-Mask Cocktail-Party Source Separation in a Convolutional Deep Neural Network. CoRR abs/1503.06962 (2015) - [i13]Andrew J. R. Simpson:
Deep Transform: Cocktail Party Source Separation via Complex Convolution in a Deep Neural Network. CoRR abs/1504.02945 (2015) - [i12]Andrew J. R. Simpson, Gerard Roma, Mark D. Plumbley:
Deep Karaoke: Extracting Vocals from Musical Mixtures Using a Convolutional Deep Neural Network. CoRR abs/1504.04658 (2015) - [i11]Andrew J. R. Simpson:
Time-Frequency Trade-offs for Audio Source Separation with Binary Masks. CoRR abs/1504.07372 (2015) - [i10]Andrew J. R. Simpson, Gerard Roma, Mark D. Plumbley:
Deep Remix: Remixing Musical Mixtures Using a Convolutional Deep Neural Network. CoRR abs/1505.00289 (2015) - [i9]Andrew J. R. Simpson:
Instant Learning: Parallel Deep Neural Networks and Convolutional Bootstrapping. CoRR abs/1505.05972 (2015) - [i8]Andrew J. R. Simpson:
Dither is Better than Dropout for Regularising Deep Neural Networks. CoRR abs/1508.04826 (2015) - [i7]Andrew J. R. Simpson:
Parallel Dither and Dropout for Regularising Deep Neural Networks. CoRR abs/1508.07130 (2015) - [i6]Andrew J. R. Simpson:
On-the-Fly Learning in a Perpetual Learning Machine. CoRR abs/1509.00913 (2015) - [i5]Andrew J. R. Simpson:
Use it or Lose it: Selective Memory and Forgetting in a Perpetual Learning Machine. CoRR abs/1509.03185 (2015) - [i4]Andrew J. R. Simpson:
Taming the ReLU with Parallel Dither in a Deep Neural Network. CoRR abs/1509.05173 (2015) - [i3]Andrew J. R. Simpson:
"Oddball SGD": Novelty Driven Stochastic Gradient Descent for Training Deep Neural Networks. CoRR abs/1509.05765 (2015) - [i2]Andrew J. R. Simpson:
Uniform Learning in a Deep Neural Network via "Oddball" Stochastic Gradient Descent. CoRR abs/1510.02442 (2015) - [i1]Andrew J. R. Simpson:
Qualitative Projection Using Deep Neural Networks. CoRR abs/1510.05711 (2015)
Coauthor Index
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