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Daniel Tompkins
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2020 – today
- 2023
- [c5]Daniel Tompkins, Dimitra Emmanouilidou, Soham Deshmukh, Benjamin Elizalde:
Multi-View Learning for Speech Emotion Recognition with Categorical Emotion, Categorical Sentiment, and Dimensional Scores. ICASSP 2023: 1-5 - [c4]Sanyuan Chen, Yu Wu, Chengyi Wang, Shujie Liu, Daniel Tompkins, Zhuo Chen, Wanxiang Che, Xiangzhan Yu, Furu Wei:
BEATs: Audio Pre-Training with Acoustic Tokenizers. ICML 2023: 5178-5193 - 2022
- [c3]Daniel Tompkins, Kshitiz Kumar, Jian Wu:
Maximizing Audio Event Detection Model Performance on Small Datasets Through Knowledge Transfer, Data Augmentation, and Pretraining: an Ablation Study. ICASSP 2022: 1016-1020 - [i4]Daniel Tompkins, Kshitiz Kumar, Jian Wu:
Maximizing Audio Event Detection Model Performance on Small Datasets Through Knowledge Transfer, Data Augmentation, And Pretraining: An Ablation Study. CoRR abs/2202.03514 (2022) - [i3]Sanyuan Chen, Yu Wu, Chengyi Wang, Shujie Liu, Daniel Tompkins, Zhuo Chen, Furu Wei:
BEATs: Audio Pre-Training with Acoustic Tokenizers. CoRR abs/2212.09058 (2022) - 2021
- [i2]Benjamin Elizalde, Daniel Tompkins:
COVID-19 Detection Using Recorded Coughs in the 2021 DiCOVA Challenge. CoRR abs/2105.10619 (2021) - 2020
- [c2]Jianyu Fan, Eric Nichols, Daniel Tompkins, Ana Elisa Méndez Méndez, Benjamin Elizalde, Philippe Pasquier
:
Multi-Label Sound Event Retrieval Using A Deep Learning-Based Siamese Structure With A Pairwise Presence Matrix. ICASSP 2020: 3482-3486 - [i1]Jianyu Fan, Eric Nichols, Daniel Tompkins, Ana Elisa Méndez Méndez, Benjamin Elizalde, Philippe Pasquier:
Multi-label Sound Event Retrieval Using a Deep Learning-based Siamese Structure with a Pairwise Presence Matrix. CoRR abs/2002.09026 (2020)
2010 – 2019
- 2019
- [c1]Eric Nichols, Daniel Tompkins, Jianyu Fan:
Hierarchical Sound Event Classification. DCASE 2019: 248-252
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