111 citations · 162 across the 7 of their papers we have counts for
7 papers
Complex Clipping for Improved Generalization in Machine Learning
Les Atlas, Nicholas Rasmussen, Felix Schwock +1
For many machine learning applications, a common input representation is a spectrogram. The underlying representation for a spectrogram is a short time Fourier transform (STFT) whi…
Estimating and Analyzing Neural Information Flow Using Signal Processing on Graphs
Felix Schwock, Julien Bloch, Les Atlas +2
Correlating neural communication in brain networks with behavior and cognition can provide fundamental insights into the functionality of both healthy and diseased brains. We demon…
Using a Novel COVID-19 Calculator to Measure Positive U.S. Socio-Economic Impact of a COVID-19 Pre-Screening Solution (AI/ML)
Richard Swartzbaugh, Amil Khanzada, Praveen Govindan +8
The COVID-19 pandemic has been a scourge upon humanity, claiming the lives of more than 5.1 million people worldwide; the global economy contracted by 3.5% in 2020. This paper pres…
Deep Recurrent NMF for Speech Separation by Unfolding Iterative Thresholding
Scott Wisdom, Thomas Powers, James Pitton +1
In this paper, we propose a novel recurrent neural network architecture for speech separation. This architecture is constructed by unfolding the iterations of a sequential iterativ…
Interpretable Recurrent Neural Networks Using Sequential Sparse Recovery
Scott Wisdom, Thomas Powers, James Pitton +1
Recurrent neural networks (RNNs) are powerful and effective for processing sequential data. However, RNNs are usually considered "black box" models whose internal structure and lea…
Full-Capacity Unitary Recurrent Neural Networks
Scott Wisdom, Thomas Powers, John R. Hershey +2
Recurrent neural networks are powerful models for processing sequential data, but they are generally plagued by vanishing and exploding gradient problems. Unitary recurrent neural…
Enhancement and Recognition of Reverberant and Noisy Speech by Extending Its Coherence
Scott Wisdom, Thomas Powers, Les Atlas +1
Most speech enhancement algorithms make use of the short-time Fourier transform (STFT), which is a simple and flexible time-frequency decomposition that estimates the short-time sp…