13 citations · 36 across the 18 of their papers we have counts for
5 papers · 1 filter
Audio-free Prompt Tuning for Language-Audio Models
Yiming Li, Xiangdong Wang, Hong Liu
Contrastive Language-Audio Pretraining (CLAP) is pre-trained to associate audio features with human language, making it a natural zero-shot classifier to recognize unseen sound cat…
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…
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…
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…
Leveraging Language Model Capabilities for Sound Event Detection
Hualei Wang, Jianguo Mao, Zhifang Guo +3
Large language models reveal deep comprehension and fluent generation in the field of multi-modality. Although significant advancements have been achieved in audio multi-modality,…