Emmett McQuinn

WHAM!: Extending Speech Separation to Noisy Environments

Jonathan Le Roux, Michael Flynn, Ethan Manilow, 2019, INTERSPEECH.

Cognitive computing systems: Algorithms and applications for networks of neurosynaptic cores

Andrew S. Cassidy, Alexander Andreopoulos, Stefano Carpin, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Cognitive computing programming paradigm: A Corelet Language for composing networks of neurosynaptic cores

Andrew S. Cassidy, Alexander Andreopoulos, Myron Flickner, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Cognitive computing building block: A versatile and efficient digital neuron model for neurosynaptic cores

Andrew S. Cassidy, Vitaly Feldman, Dharmendra S. Modha, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Visualization of time-dependent seismic vector fields with glyphs

Emmett McQuinn, 2010 .

Real-Time Scalable Cortical Computing at 46 Giga-Synaptic OPS/Watt with ~100× Speedup in Time-to-Solution and ~100,000× Reduction in Energy-to-Solution

Andrew S. Cassidy, Bernard Brezzo, Sameh W. Asaad, 2014, SC14: International Conference for High Performance Computing, Networking, Storage and Analysis.

Neurogrid: A Mixed-Analog-Digital Multichip System for Large-Scale Neural Simulations

Rodrigo Alvarez-Icaza, John V. Arthur, Paul Merolla, 2014, Proceedings of the IEEE.

WHAMR!: Noisy and Reverberant Single-Channel Speech Separation

Jonathan Le Roux, Matthew Maciejewski, Gordon Wichern, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

GlyphSea: Visualizing Vector Fields

Amit Chourasia, Jean-Bernard Minster, Jürgen P. Schulze, 2013, Electronic Imaging.