Andrew J. R. Simpson

Publication Activity (10 Years)

Years Active: 2015-2017
Publications (10 Years): 27

Top Venues

CoRR

LVA/ICA

INTERSPEECH

IEEE ACM Trans. Audio Speech Lang. Process.

Queen Mary University of London, UK (PHD)

Education History

Queen Mary University of London, UK

PHD

Publications

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) (2017)
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)
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)
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)
Andrew J. R. Simpson
Hierarchical Conflict Propagation: Sequence Learning in a Recurrent Deep Neural Network. CoRR (2016)
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 (2016)
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)
Andrew J. R. Simpson
Qualitative Projection Using Deep Neural Networks. CoRR (2015)
Andrew J. R. Simpson
Over-Sampling in a Deep Neural Network. CoRR (2015)
Andrew J. R. Simpson
Taming the ReLU with Parallel Dither in a Deep Neural Network. CoRR (2015)
Andrew J. R. Simpson
"Oddball SGD": Novelty Driven Stochastic Gradient Descent for Training Deep Neural Networks. CoRR (2015)
Andrew J. R. Simpson
Deep Transform: Cocktail Party Source Separation via Probabilistic Re-Synthesis. CoRR (2015)
Andrew J. R. Simpson
Dither is Better than Dropout for Regularising Deep Neural Networks. CoRR (2015)
Andrew J. R. Simpson, Gerard Roma, Mark D. Plumbley
Deep Karaoke: Extracting Vocals from Musical Mixtures Using a Convolutional Deep Neural Network. CoRR (2015)
Andrew J. R. Simpson
Deep Transform: Cocktail Party Source Separation via Complex Convolution in a Deep Neural Network. CoRR (2015)
Andrew J. R. Simpson
Deep Transform: Error Correction via Probabilistic Re-Synthesis. CoRR (2015)
Andrew J. R. Simpson
Instant Learning: Parallel Deep Neural Networks and Convolutional Bootstrapping. CoRR (2015)
Andrew J. R. Simpson
Time-Frequency Trade-offs for Audio Source Separation with Binary Masks. CoRR (2015)
Andrew J. R. Simpson
Probabilistic Binary-Mask Cocktail-Party Source Separation in a Convolutional Deep Neural Network. CoRR (2015)
Andrew J. R. Simpson
Uniform Learning in a Deep Neural Network via "Oddball" Stochastic Gradient Descent. CoRR (2015)
Andrew J. R. Simpson, Gerard Roma, Mark D. Plumbley
Deep Remix: Remixing Musical Mixtures Using a Convolutional Deep Neural Network. CoRR (2015)
Andrew J. R. Simpson
Parallel Dither and Dropout for Regularising Deep Neural Networks. CoRR (2015)
Andrew J. R. Simpson
Abstract Learning via Demodulation in a Deep Neural Network. CoRR (2015)
Andrew J. R. Simpson
Use it or Lose it: Selective Memory and Forgetting in a Perpetual Learning Machine. CoRR (2015)
Andrew J. R. Simpson
On-the-Fly Learning in a Perpetual Learning Machine. CoRR (2015)
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)
Andrew J. R. Simpson
Deep Transform: Time-Domain Audio Error Correction via Probabilistic Re-Synthesis. CoRR (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Andrew J. R. Simpson