2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.SD2022
Maximizing Audio Event Detection Model Performance on Small Datasets Through Knowledge Transfer, Data Augmentation, And Pretraining: An Ablation Study
Daniel Tompkins, Kshitiz Kumar, Jian Wu
An Xception model reaches state-of-the-art (SOTA) accuracy on the ESC-50 dataset for audio event detection through knowledge transfer from ImageNet weights, pretraining on AudioSet…
cs.SD2021★ 2 cited
COVID-19 Detection Using Recorded Coughs in the 2021 DiCOVA Challenge
Benjamin Elizalde, Daniel Tompkins
COVID-19 has resulted in over 100 million infections and caused worldwide lock downs due to its high transmission rate and limited testing options. Current diagnostic tests can be…
eess.AS2020
Multi-label Sound Event Retrieval Using a Deep Learning-based Siamese Structure with a Pairwise Presence Matrix
Jianyu Fan, Eric Nichols, Daniel Tompkins +3
Realistic recordings of soundscapes often have multiple sound events co-occurring, such as car horns, engine and human voices. Sound event retrieval is a type of content-based sear…