Signal Processing

Multi-Source Diffusion Models for Simultaneous Music Generation and Separation
In this work, we define a diffusion-based generative model capable of both music synthesis and source separation by learning the score …
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Multi-Source Diffusion Models for Simultaneous Music Generation and Separation
SyncFusion: Multimodal Onset-synchronized Video-to-Audio Foley Synthesis
Sound design involves creatively selecting, recording, and editing sound effects for various media like cinema, video games, and …
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SyncFusion: Multimodal Onset-synchronized Video-to-Audio Foley Synthesis
Generalized Multi-Source Inference for Text Conditioned Music Diffusion Models
Multi-Source Diffusion Models (MSDM) allow for compositional musical generation tasks: generating a set of coherent sources, creating …
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Generalized Multi-Source Inference for Text Conditioned Music Diffusion Models
Adversarial Permutation Invariant Training for Universal Sound Separation
Universal sound separation consists of separating mixes with arbitrary sounds of different types, and permutation invariant training …
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Adversarial Permutation Invariant Training for Universal Sound Separation
Latent Autoregressive Source Separation
Autoregressive models have achieved impressive results over a wide range of domains in terms of generation quality and downstream task …
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Latent Autoregressive Source Separation
Unsupervised source separation via Bayesian inference in the latent domain
State of the art audio source separation models rely on supervised data-driven approaches, which can be expensive in terms of labeling …
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Unsupervised source separation via Bayesian inference in the latent domain