13 citations · 15 across the 9 of their papers we have counts for
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eess.AS2023
Semi-supervised Sound Event Detection with Local and Global Consistency Regularization
Yiming Li, Xiangdong Wang, Hong Liu +3
Learning meaningful frame-wise features on a partially labeled dataset is crucial to semi-supervised sound event detection. Prior works either maintain consistency on frame-level p…
cs.HC2023
Frame Pairwise Distance Loss for Weakly-supervised Sound Event Detection
Rui Tao, Yuxing Huang, Xiangdong Wang +4
Weakly-supervised learning has emerged as a promising approach to leverage limited labeled data in various domains by bridging the gap between fully supervised methods and unsuperv…
cs.SD2023★ 2 cited
Audio Generation with Multiple Conditional Diffusion Model
Zhifang Guo, Jianguo Mao, Rui Tao +4
Text-based audio generation models have limitations as they cannot encompass all the information in audio, leading to restricted controllability when relying solely on text. To add…