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Found 4 papers, 2 papers with code
Generation or Replication: Auscultating Audio Latent Diffusion Models
The introduction of audio latent diffusion models possessing the ability to generate realistic sound clips on demand from a text description has the potential to revolutionize how we work with audio.
Complete and separate: Conditional separation with missing target source attribute completion
Recent approaches in source separation leverage semantic information about their input mixtures and constituent sources that when used in conditional separation models can achieve impressive performance.
Latent Iterative Refinement for Modular Source Separation
During inference, we can dynamically adjust how many processing blocks and iterations of a specific block an input signal needs using a gating module.
Unified Gradient Reweighting for Model Biasing with Applications to Source Separation
In this paper, we propose a simple, unified gradient reweighting scheme, with a lightweight modification to bias the learning process of a model and steer it towards a certain distribution of results.
