Dan Ellis
Dan Ellis joined Google in 2015 after 15 years as a faculty member in the Electrical Engineering department at Columbia University, where he headed the Laboratory for Recognition and Organization of Speech and Audio (LabROSA). He has over 150 publications in the areas of audio processing, speech recognition, and music information retrieval.
Research Areas
Authored Publications
Sort By
Google
MuLan: A Joint Embedding of Music Audio and Natural Language
Qingqing Huang
Joonseok Lee
Ravi Ganti
Judith Yue Li
Proceedings of the the 23rd International Society for Music Information Retrieval Conference (ISMIR) (2022) (to appear)
Self-Supervised Learning from Automatically Separated Sound Scenes
Marco Tagliasacchi
Xavier Serra
WASPAA 2021 (2021)
Into the Wild with AudioScope: Unsupervised Audio-Visual Separation of On-Screen Sounds
Tal Remez
International Conference on Learning Representations (ICLR) 2021
What's All the FUSS About Free Universal Sound Separation Data?
Romain Serizel
Nicolas Turpault
Eduardo Fonseca
Justin Salamon
Prem Seetharaman
ICASSP 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)
Large-Scale Weakly-Supervised Content Embeddingsfor Music Recommendation and Tagging
Qingqing Huang
Li Zhang
John Roberts Anderson
ICASSP 2020 (2020)
Self-Supervised Audio-Visual Separation of On-Screen Sounds from Unlabeled Videos
Tal Remez
NeurIPS 2020 Workshop on Self-Supervised Learning for Speech and Audio Processing
Audio Tagging with Noisy Labels and Minimal Supervision
Frederic Font
Xavier Serra
Proceedings of the Detection and Classification of Acoustic Scenes and Events 2019 Workshop (DCASE2019) (to appear)
