AI RESEARCH
VoiceBridge: General Speech Restoration with One-step Latent Bridge Models
arXiv CS.AI
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ArXi:2509.25275v5 Announce Type: replace-cross Bridge models have been investigated in speech enhancement but are mostly single-task, with constrained general speech restoration (GSR) capability. In this work, we propose VoiceBridge, a one-step latent bridge model (LBM) for GSR, capable of efficiently reconstructing 48 kHz fullband speech from diverse distortions. To inherit the advantages of data-domain bridge models, we design an energy-preserving variational autoencoder, enhancing the waveform-latent space alignment over varying energy levels.