Andrew J. R. Simpson

28 papers A 1Journal 22Unranked 4

Year	Rank	Type	Title / Venue / Authors
2017	—	`conf`	Discriminative Enhancement for Single Channel Audio Source Separation Using Deep Neural Networks. LVA/ICA Emad M. Grais, Gerard Roma, Andrew J. R. Simpson, Mark D. Plumbley
2017	—	`conf`	Psychophysical Evaluation of Audio Source Separation Methods. LVA/ICA Andrew J. R. Simpson, Gerard Roma, Emad M. Grais, Russell D. Mason, Christopher Hummersone, Mark D. Plumbley
2017	J	`jnl`	Two-Stage Single-Channel Audio Source Separation Using Deep Neural Networks. IEEE ACM Trans. Audio Speech Lang. Process. Emad M. Grais, Gerard Roma, Andrew J. R. Simpson, Mark D. Plumbley
2016	A	`conf`	Combining Mask Estimates for Single Channel Audio Source Separation Using Deep Neural Networks. INTERSPEECH Emad M. Grais, Gerard Roma, Andrew J. R. Simpson, Mark D. Plumbley
2016	J	`jnl`	Discriminative Enhancement for Single Channel Audio Source Separation using Deep Neural Networks. CoRR Emad M. Grais, Gerard Roma, Andrew J. R. Simpson, Mark D. Plumbley
2016	—	`conf`	Evaluation of audio source separation models using hypothesis-driven non-parametric statistical methods. EUSIPCO Andrew J. R. Simpson, Gerard Roma, Emad M. Grais, Russell D. Mason, Chris Hummersone, Antoine Liutkus, Mark D. Plumbley
2016	J	`jnl`	Hierarchical Conflict Propagation: Sequence Learning in a Recurrent Deep Neural Network. CoRR Andrew J. R. Simpson
2015	J	`jnl`	"Oddball SGD": Novelty Driven Stochastic Gradient Descent for Training Deep Neural Networks. CoRR Andrew J. R. Simpson
2015	J	`jnl`	Abstract Learning via Demodulation in a Deep Neural Network. CoRR Andrew J. R. Simpson
2015	—	`conf`	Deep Karaoke: Extracting Vocals from Musical Mixtures Using a Convolutional Deep Neural Network. LVA/ICA Andrew J. R. Simpson, Gerard Roma, Mark D. Plumbley
2015	J	`jnl`	Deep Karaoke: Extracting Vocals from Musical Mixtures Using a Convolutional Deep Neural Network. CoRR Andrew J. R. Simpson, Gerard Roma, Mark D. Plumbley
2015	J	`jnl`	Deep Remix: Remixing Musical Mixtures Using a Convolutional Deep Neural Network. CoRR Andrew J. R. Simpson, Gerard Roma, Mark D. Plumbley
2015	J	`jnl`	Deep Transform: Cocktail Party Source Separation via Complex Convolution in a Deep Neural Network. CoRR Andrew J. R. Simpson
2015	J	`jnl`	Deep Transform: Cocktail Party Source Separation via Probabilistic Re-Synthesis. CoRR Andrew J. R. Simpson
2015	J	`jnl`	Deep Transform: Error Correction via Probabilistic Re-Synthesis. CoRR Andrew J. R. Simpson
2015	J	`jnl`	Deep Transform: Time-Domain Audio Error Correction via Probabilistic Re-Synthesis. CoRR Andrew J. R. Simpson
2015	J	`jnl`	Dither is Better than Dropout for Regularising Deep Neural Networks. CoRR Andrew J. R. Simpson
2015	J	`jnl`	Instant Learning: Parallel Deep Neural Networks and Convolutional Bootstrapping. CoRR Andrew J. R. Simpson
2015	J	`jnl`	On-the-Fly Learning in a Perpetual Learning Machine. CoRR Andrew J. R. Simpson
2015	J	`jnl`	Over-Sampling in a Deep Neural Network. CoRR Andrew J. R. Simpson
2015	J	`jnl`	Parallel Dither and Dropout for Regularising Deep Neural Networks. CoRR Andrew J. R. Simpson
2015	J	`jnl`	Probabilistic Binary-Mask Cocktail-Party Source Separation in a Convolutional Deep Neural Network. CoRR Andrew J. R. Simpson
2015	J	`jnl`	Qualitative Projection Using Deep Neural Networks. CoRR Andrew J. R. Simpson
2015	J	`jnl`	Taming the ReLU with Parallel Dither in a Deep Neural Network. CoRR Andrew J. R. Simpson
2015	J	`jnl`	Time-Frequency Trade-offs for Audio Source Separation with Binary Masks. CoRR Andrew J. R. Simpson
2015	J	`jnl`	Uniform Learning in a Deep Neural Network via "Oddball" Stochastic Gradient Descent. CoRR Andrew J. R. Simpson
2015	J	`jnl`	Use it or Lose it: Selective Memory and Forgetting in a Perpetual Learning Machine. CoRR Andrew J. R. Simpson
2014	—	`—`	Selectivity and adaptation in the human auditory system. Andrew J. R. Simpson