Title | ||
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An Improved Mean Teacher Based Method for Large Scale Weakly Labeled Semi-Supervised Sound Event Detection |
Abstract | ||
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This paper presents an improved mean teacher (MT) based method for large-scale weakly labeled semi-supervised sound event detection (SED), by focusing on learning a better student model. Two main improvements are proposed based on the authors’ previous perturbation based MT method. Firstly, an event-aware module is de-signed to allow multiple branches with different kernel sizes to be fused via an... |
Year | DOI | Venue |
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2021 | 10.1109/ICASSP39728.2021.9414931 | ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) |
Keywords | DocType | ISBN |
Training,Adaptation models,Event detection,Perturbation methods,Stochastic processes,Predictive models,Data models | Conference | 978-1-7281-7605-5 |
Citations | PageRank | References |
1 | 0.36 | 0 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Zheng Xu | 1 | 19 | 8.69 |
Yan Song | 2 | 734 | 51.98 |
Ian McLoughlin | 3 | 7 | 4.22 |
Li Li | 4 | 76 | 24.03 |
Li-Rong Dai | 5 | 1070 | 117.92 |