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Sparsity-based audio declip** methods: Selected overview, new algorithms, and large-scale evaluation
Recent advances in audio declip** have substantially improved the state of the art. Yet,
practitioners need guidelines to choose a method, and while existing benchmarks have …
practitioners need guidelines to choose a method, and while existing benchmarks have …
Miipher: A robust speech restoration model integrating self-supervised speech and text representations
Speech restoration (SR) is a task of converting degraded speech signals into high-quality
ones. In this study, we propose a robust SR model called Miipher, and apply Miipher to a …
ones. In this study, we propose a robust SR model called Miipher, and apply Miipher to a …
BEHM-GAN: Bandwidth extension of historical music using generative adversarial networks
Audio bandwidth extension aims to expand the spectrum of bandlimited audio signals.
Although this topic has been broadly studied during recent years, the particular problem of …
Although this topic has been broadly studied during recent years, the particular problem of …
General purpose audio effect removal
Although the design and application of audio effects is well understood, the inverse problem
of removing these effects is significantly more challenging and far less studied. Recently …
of removing these effects is significantly more challenging and far less studied. Recently …
Vrdmg: Vocal restoration via diffusion posterior sampling with multiple guidance
Restoring degraded music signals is essential to enhance audio quality for downstream
music manipulation. Recent diffusion-based music restoration methods have demonstrated …
music manipulation. Recent diffusion-based music restoration methods have demonstrated …
Cascaded time+ time-frequency unet for speech enhancement: Jointly addressing clip**, codec distortions, and gaps
Speech enhancement aims to improve speech quality by eliminating noise and distortions.
While most speech enhancement methods address signal independent additive sources of …
While most speech enhancement methods address signal independent additive sources of …