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arxiv: 2501.11311 · v2 · pith:5P2XZYPN · submitted 2025-01-20 · cs.SD · cs.LG· eess.AS

A2SB: Audio-to-Audio Schrodinger Bridges

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classification cs.SD cs.LGeess.AS
keywords a2sbaudiomusicaudio-to-audiobridgescapableextensioninpainting
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Real-world audio is often degraded by numerous factors. This work presents an audio restoration model tailored for high-res music at 44.1kHz. Our model, Audio-to-Audio Schr\"odinger Bridges (A2SB), is capable of both bandwidth extension (predicting high-frequency components) and inpainting (re-generating missing segments). Critically, A2SB is end-to-end requiring no vocoder to predict waveform outputs, able to restore hour-long audio inputs, and trained on permissively licensed music data. A2SB is capable of achieving state-of-the-art band-width extension and inpainting quality on several out-of-distribution music test sets.

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