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arXiv · 2501.11311

A2SB: Audio-to-Audio Schrodinger Bridges

Zhifeng Kong·Kevin J Shih·Weili Nie·Arash Vahdat·Sang-gil Lee·Joao Felipe Santos·Ante Jukic·Rafael Valle·Bryan Catanzaro
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Abstract

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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Zhifeng Kong, Kevin J Shih, Weili Nie, Arash Vahdat, Sang-gil Lee, Joao Felipe Santos, Ante Jukic, Rafael Valle, Bryan Catanzaro. 2025-01-20. A2SB: Audio-to-Audio Schrodinger Bridges. https://arxiv.org/abs/2501.11311

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