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Found 3 papers, 2 papers with code
CATSE: A Context-Aware Framework for Causal Target Sound Extraction
First, we explore the utility of context by providing the TSE model with oracle information about what sound classes make up the input mixture, where the objective of the model is to extract one or more sources of interest indicated by the user.
Latent CLAP Loss for Better Foley Sound Synthesis
We introduce a new loss term to enhance Foley sound generation in AudioLDM without post-filtering.
Self-Supervised Learning for Speech Enhancement through Synthesis
Modern speech enhancement (SE) networks typically implement noise suppression through time-frequency masking, latent representation masking, or discriminative signal prediction.
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