Channing Moore

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The Benefit of Temporally-Strong Labels in Audio Event Classification
Shawn Hershey
Dan Ellis
Eduardo Fonseca
Aren Jansen
Caroline Liu
R. Channing Moore
Manoj Plakal
Proceedings of ICASSP 2021 (2021)
Self-Supervised Learning from Automatically Separated Sound Scenes
Eduardo Fonseca
Aren Jansen
Dan Ellis
Scott Wisdom
Marco Tagliasacchi
John Hershey
Manoj Plakal
Shawn Hershey
R. Channing Moore
Xavier Serra
WASPAA 2021 (2021)
Coincidence, Categorization, and Consolidation: Learning to Recognize Sounds with Minimal Supervision
Aren Jansen
Dan Ellis
Shawn Hershey
R. Channing Moore
Manoj Plakal
Ashok Popat
Rif A. Saurous
Proceedings of ICASSP 2020 (2020) (to appear)
Unsupervised Learning of Semantic Audio Representations
Aren Jansen
Manoj Plakal
Ratheet Pandya
Dan Ellis
Shawn Hershey
Jiayang Liu
Channing Moore
Rif A. Saurous
Proceedings of ICASSP 2018 (to appear)
CNN Architectures for Large-Scale Audio Classification
Shawn Hershey
Sourish Chaudhuri
Daniel P. W. Ellis
Jort F. Gemmeke
Aren Jansen
Channing Moore
Manoj Plakal
Devin Platt
Rif A. Saurous
Bryan Seybold
Malcolm Slaney
Ron Weiss
Kevin Wilson
International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE (2017)
Towards Learning Semantic Audio Representations from Unlabeled Data
Aren Jansen
Manoj Plakal
Ratheet Pandya
Dan Ellis
Shawn Hershey
Jiayang Liu
Channing Moore
Rif A. Saurous
NIPS Workshop on Machine Learning for Audio Signal Processing (ML4Audio) (2017) (to appear)
Audio Set: An ontology and human-labeled dataset for audio events
Jort F. Gemmeke
Daniel P. W. Ellis
Dylan Freedman
Aren Jansen
Wade Lawrence
R. Channing Moore
Manoj Plakal
Marvin Ritter
Proc. IEEE ICASSP 2017, New Orleans, LA (to appear)
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