3 papers
eess.AS2025
Towards Multimodal Query-Based Spatial Audio Source Extraction
Chenxin Yu, Hao Ma, Xu Li +4
Query-based audio source extraction seeks to recover a target source from a mixture conditioned on a query. Existing approaches are largely confined to single-channel audio, leavin…
eess.AS2025
Language-Queried Target Sound Extraction Without Parallel Training Data
Hao Ma, Zhiyuan Peng, Xu Li +4
Language-queried target sound extraction (TSE) aims to extract specific sounds from mixtures based on language queries. Traditional fully-supervised training schemes require extens…
eess.AS2025
CLAPSep: Leveraging Contrastive Pre-trained Model for Multi-Modal Query-Conditioned Target Sound Extraction
Hao Ma, Zhiyuan Peng, Xu Li +3
Universal sound separation (USS) aims to extract arbitrary types of sounds from real-world recordings. This can be achieved by language-queried target sound extraction (TSE), which…