Selectivity and adaptation in the human auditory system. - Andrew J. R. Simpson (2014)

Deep Karaoke: Extracting Vocals from Musical Mixtures Using a Convolutional Deep Neural Network. - Andrew J. R. Simpson; Gerard Roma; Mark D. Plumbley (LVA/ICA, 2015)

Over-Sampling in a Deep Neural Network. - Andrew J. R. Simpson (CoRR, 2015)

Abstract Learning via Demodulation in a Deep Neural Network. - Andrew J. R. Simpson (CoRR, 2015)

Deep Transform: Error Correction via Probabilistic Re-Synthesis. - Andrew J. R. Simpson (CoRR, 2015)

Deep Transform: Time-Domain Audio Error Correction via Probabilistic Re-Synthesis. - Andrew J. R. Simpson (CoRR, 2015)

Deep Transform: Cocktail Party Source Separation via Probabilistic Re-Synthesis. - Andrew J. R. Simpson (CoRR, 2015)

Probabilistic Binary-Mask Cocktail-Party Source Separation in a Convolutional Deep Neural Network. - Andrew J. R. Simpson (CoRR, 2015)

Deep Transform: Cocktail Party Source Separation via Complex Convolution in a Deep Neural Network. - Andrew J. R. Simpson (CoRR, 2015)

Time-Frequency Trade-offs for Audio Source Separation with Binary Masks. - Andrew J. R. Simpson (CoRR, 2015)

Instant Learning: Parallel Deep Neural Networks and Convolutional Bootstrapping. - Andrew J. R. Simpson (CoRR, 2015)

Dither is Better than Dropout for Regularising Deep Neural Networks. - Andrew J. R. Simpson (CoRR, 2015)

Parallel Dither and Dropout for Regularising Deep Neural Networks. - Andrew J. R. Simpson (CoRR, 2015)

On-the-Fly Learning in a Perpetual Learning Machine. - Andrew J. R. Simpson (CoRR, 2015)

Use it or Lose it: Selective Memory and Forgetting in a Perpetual Learning Machine. - Andrew J. R. Simpson (CoRR, 2015)

Taming the ReLU with Parallel Dither in a Deep Neural Network. - Andrew J. R. Simpson (CoRR, 2015)

"Oddball SGD": Novelty Driven Stochastic Gradient Descent for Training Deep Neural Networks. - Andrew J. R. Simpson (CoRR, 2015)

Uniform Learning in a Deep Neural Network via "Oddball" Stochastic Gradient Descent. - Andrew J. R. Simpson (CoRR, 2015)

Qualitative Projection Using Deep Neural Networks. - Andrew J. R. Simpson (CoRR, 2015)

Deep Remix: Remixing Musical Mixtures Using a Convolutional Deep Neural Network. - Andrew J. R. Simpson; Gerard Roma; Mark D. Plumbley (CoRR, 2015)

Evaluation of audio source separation models using hypothesis-driven non-parametric statistical methods. - Andrew J. R. Simpson; Gerard Roma; Emad M. Grais; Russell D. Mason; Chris Hummersone; Antoine Liutkus; Mark D. Plumbley (EUSIPCO, 2016)

Combining Mask Estimates for Single Channel Audio Source Separation Using Deep Neural Networks. - Emad M. Grais; Gerard Roma; Andrew J. R. Simpson; Mark D. Plumbley (INTERSPEECH, 2016)

Hierarchical Conflict Propagation: Sequence Learning in a Recurrent Deep Neural Network. - Andrew J. R. Simpson (CoRR, 2016)

Discriminative Enhancement for Single Channel Audio Source Separation Using Deep Neural Networks. - Emad M. Grais; Gerard Roma; Andrew J. R. Simpson; Mark D. Plumbley (LVA/ICA, 2017)

Psychophysical Evaluation of Audio Source Separation Methods. - Andrew J. R. Simpson; Gerard Roma; Emad M. Grais; Russell D. Mason; Christopher Hummersone; Mark D. Plumbley (LVA/ICA, 2017)

Two-Stage Single-Channel Audio Source Separation Using Deep Neural Networks. - Emad M. Grais; Gerard Roma; Andrew J. R. Simpson; Mark D. Plumbley (IEEE ACM Trans. Audio Speech Lang. Process., 2017)