Shawn Hershey

17 papers A* 1Misc 5Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2023 Misc conf
Dataset Balancing Can Hurt Model Performance.
ICASSP
R. Channing Moore, Daniel P. W. Ellis, Eduardo Fonseca, Shawn Hershey, Aren Jansen, Manoj Plakal
2023 J jnl
Dataset balancing can hurt model performance.
CoRR
R. Channing Moore, Daniel P. W. Ellis, Eduardo Fonseca, Shawn Hershey, Aren Jansen, Manoj Plakal
2021 A* conf
Into the Wild with AudioScope: Unsupervised Audio-Visual Separation of On-Screen Sounds.
ICLR
Efthymios Tzinis, Scott Wisdom, Aren Jansen, Shawn Hershey, Tal Remez, Dan Ellis, John R. Hershey
2021 — conf
Self-Supervised Learning from Automatically Separated Sound Scenes.
WASPAA
Eduardo Fonseca, Aren Jansen, Daniel P. W. Ellis, Scott Wisdom, Marco Tagliasacchi, John R. Hershey, Manoj Plakal, Shawn Hershey, R. Channing Moore, Xavier Serra
2021 J jnl
Self-Supervised Learning from Automatically Separated Sound Scenes.
CoRR
Eduardo Fonseca, Aren Jansen, Daniel P. W. Ellis, Scott Wisdom, Marco Tagliasacchi, John R. Hershey, Manoj Plakal, Shawn Hershey, R. Channing Moore, Xavier Serra
2021 J jnl
The Benefit Of Temporally-Strong Labels In Audio Event Classification.
CoRR
Shawn Hershey, Daniel P. W. Ellis, Eduardo Fonseca, Aren Jansen, Caroline Liu, R. Channing Moore, Manoj Plakal
2021 Misc conf
The Benefit of Temporally-Strong Labels in Audio Event Classification.
ICASSP
Shawn Hershey, Daniel P. W. Ellis, Eduardo Fonseca, Aren Jansen, Caroline Liu, R. Channing Moore, Manoj Plakal
2020 J jnl
Addressing Missing Labels in Large-Scale Sound Event Recognition Using a Teacher-Student Framework With Loss Masking.
IEEE Signal Process. Lett.
Eduardo Fonseca, Shawn Hershey, Manoj Plakal, Daniel P. W. Ellis, Aren Jansen, R. Channing Moore
2020 J jnl
Addressing Missing Labels in Large-scale Sound Event Recognition using a Teacher-student Framework with Loss Masking.
CoRR
Eduardo Fonseca, Shawn Hershey, Manoj Plakal, Daniel P. W. Ellis, Aren Jansen, R. Channing Moore, Xavier Serra
2020 Misc conf
Coincidence, Categorization, and Consolidation: Learning to Recognize Sounds with Minimal Supervision.
ICASSP
Aren Jansen, Daniel P. W. Ellis, Shawn Hershey, R. Channing Moore, Manoj Plakal, Ashok C. Popat, Rif A. Saurous
2020 J jnl
Into the Wild with AudioScope: Unsupervised Audio-Visual Separation of On-Screen Sounds.
CoRR
Efthymios Tzinis, Scott Wisdom, Aren Jansen, Shawn Hershey, Tal Remez, Daniel P. W. Ellis, John R. Hershey
2019 J jnl
Coincidence, Categorization, and Consolidation: Learning to Recognize Sounds with Minimal Supervision.
CoRR
Aren Jansen, Daniel P. W. Ellis, Shawn Hershey, R. Channing Moore, Manoj Plakal, Ashok C. Popat, Rif A. Saurous
2018 Misc conf
Unsupervised Learning of Semantic Audio Representations.
ICASSP
Aren Jansen, Manoj Plakal, Ratheet Pandya, Daniel P. W. Ellis, Shawn Hershey, Jiayang Liu, R. Channing Moore, Rif A. Saurous
2017 Misc conf
CNN architectures for large-scale audio classification.
ICASSP
Shawn Hershey, Sourish Chaudhuri, Daniel P. W. Ellis, Jort F. Gemmeke, Aren Jansen, R. Channing Moore, Manoj Plakal, Devin Platt, Rif A. Saurous, Bryan Seybold, Malcolm Slaney, Ron J. Weiss, Kevin W. Wilson
2017 J jnl
Unsupervised Learning of Semantic Audio Representations.
CoRR
Aren Jansen, Manoj Plakal, Ratheet Pandya, Daniel P. W. Ellis, Shawn Hershey, Jiayang Liu, R. Channing Moore, Rif A. Saurous
2016 J jnl
CNN Architectures for Large-Scale Audio Classification.
CoRR
Shawn Hershey, Sourish Chaudhuri, Daniel P. W. Ellis, Jort F. Gemmeke, Aren Jansen, R. Channing Moore, Manoj Plakal, Devin Platt, Rif A. Saurous, Bryan Seybold, Malcolm Slaney, Ron J. Weiss, Kevin W. Wilson
2012 J jnl
Accelerating Inference: towards a full Language, Compiler and Hardware stack
CoRR
Shawn Hershey, Jeffrey Bernstein, Bill Bradley, Andrew Schweitzer, Noah Stein, Theophane Weber, Benjamin Vigoda