HybridSep combines CLAP embeddings, SSL features, and adversarial consistency training to improve language-queried audio separation, achieving higher SDR and semantic scores than AudioSep and FlowSep in their reported setup.
Exploring text-queried sound event detection with audio source separation,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.SD 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Hybrid-Sep: Language-queried audio source separation via pre-trained Model Fusion and Adversarial Diffusion Training
HybridSep combines CLAP embeddings, SSL features, and adversarial consistency training to improve language-queried audio separation, achieving higher SDR and semantic scores than AudioSep and FlowSep in their reported setup.