activity
20152018
most citedLarge-Scale Deep Learning on the YFCC100M Dataset

26 citations · 33 across the 3 of their papers we have counts for

collaborators

6 papers

cs.SD2018

Voices Obscured in Complex Environmental Settings (VOICES) corpus

Colleen Richey, Maria A. Barrios, Zeb Armstrong +11

This paper introduces the Voices Obscured In Complex Environmental Settings (VOICES) corpus, a freely available dataset under Creative Commons BY 4.0. This dataset will promote spe…

cs.SD2018

Deep Speech Denoising with Vector Space Projections

Jeff Hetherly, Paul Gamble, Maria Barrios +2

We propose an algorithm to denoise speakers from a single microphone in the presence of non-stationary and dynamic noise. Our approach is inspired by the recent success of neural n…

q-bio.QM2018

PySEAL: A Python wrapper implementation of the SEAL homomorphic encryption library

Alexander J. Titus, Shashwat Kishore, Todd Stavish +2

Motivation: The ability to perform operations on encrypted data has a growing number of applications in bioinformatics, with implications for data privacy in health care and biosec…

eess.AS20173 cited

Audio Concept Classification with Hierarchical Deep Neural Networks

Mirco Ravanelli, Benjamin Elizalde, Karl Ni +1

Audio-based multimedia retrieval tasks may identify semantic information in audio streams, i.e., audio concepts (such as music, laughter, or a revving engine). Conventional Gaussia…

cs.SD20174 cited

Monaural Audio Speaker Separation with Source Contrastive Estimation

Cory Stephenson, Patrick Callier, Abhinav Ganesh +1

We propose an algorithm to separate simultaneously speaking persons from each other, the "cocktail party problem", using a single microphone. Our approach involves a deep recurrent…

cs.LG201526 cited

Large-Scale Deep Learning on the YFCC100M Dataset

Karl Ni, Roger Pearce, Kofi Boakye +4

We present a work-in-progress snapshot of learning with a 15 billion parameter deep learning network on HPC architectures applied to the largest publicly available natural image an…