Publications (19)
Estimating the Spectral Density of Large Implicit Matrices
Ryan P. Adams, Jeffrey Pennington, Matthew J. Johnson +4
Many important problems are characterized by the eigenvalues of a large matrix. For example, the difficulty of many optimization problems, such as those arising from the fitting of…
A Remotely Interrogated All-Optical Rb Magnetometer
Brian Patton, Oscar Versolato, D. Chris Hovde +3
Atomic magnetometry was performed at Earth's magnetic field over a free-space distance of ten meters. Two laser beams aimed at a distant alkali-vapor cell excited and detected the…
Differentiable Consistency Constraints for Improved Deep Speech Enhancement
Scott Wisdom, John R. Hershey, Kevin Wilson +4
In recent years, deep networks have led to dramatic improvements in speech enhancement by framing it as a data-driven pattern recognition problem. In many modern enhancement system…
Light shift averaging in paraffin-coated alkali vapor cells
Elena Zhivun, Arne Wickenbrock, Julia Sudyka +3
Light shifts are an important source of noise and systematics in optically pumped magnetometers. We demonstrate that the long spin coherence time in paraffin-coated cells leads to…
AutoMOS: Learning a non-intrusive assessor of naturalness-of-speech
Brian Patton, Yannis Agiomyrgiannakis, Michael Terry +3
Developers of text-to-speech synthesizers (TTS) often make use of human raters to assess the quality of synthesized speech. We demonstrate that we can model human raters' mean opin…
Automatically Batching Control-Intensive Programs for Modern Accelerators
Alexey Radul, Brian Patton, Dougal Maclaurin +2
We present a general approach to batching arbitrary computations for accelerators such as GPUs. We show orders-of-magnitude speedups using our method on the No U-Turn Sampler (NUTS…