
Channing Moore
Research Areas
Authored Publications
Sort By
Google
Self-Supervised Learning from Automatically Separated Sound Scenes
Marco Tagliasacchi
Xavier Serra
WASPAA 2021 (2021)
The Benefit of Temporally-Strong Labels in Audio Event Classification
Caroline Liu
Proceedings of ICASSP 2021 (2021)
Coincidence, Categorization, and Consolidation: Learning to Recognize Sounds with Minimal Supervision
Proceedings of ICASSP 2020 (2020) (to appear)
Unsupervised Learning of Semantic Audio Representations
Ratheet Pandya
Jiayang Liu
Proceedings of ICASSP 2018 (to appear)
Towards Learning Semantic Audio Representations from Unlabeled Data
Ratheet Pandya
Jiayang Liu
NIPS Workshop on Machine Learning for Audio Signal Processing (ML4Audio) (2017) (to appear)
CNN Architectures for Large-Scale Audio Classification
Jort F. Gemmeke
Devin Platt
Malcolm Slaney
International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE (2017)
Audio Set: An ontology and human-labeled dataset for audio events
Jort F. Gemmeke
Dylan Freedman
Wade Lawrence
Proc. IEEE ICASSP 2017, New Orleans, LA (to appear)