SB-RF integrates SB time marginals with RF velocity objectives to train a conditional velocity field that performs single Euler-step enhancement from noisy speech, showing competitive results on VoiceBank-DEMAND and superior results on low-SNR tests.
V oiceRestore: flow-matching transformers for speech recording quality restoration,
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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A new open-source pipeline creates a 5,078-hour Russian speech dataset with prosody annotations, and VITS and SEMamba models trained on it outperform those trained on existing Russian corpora under equalized budgets.
citing papers explorer
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SB-RF: Schr\"odinger Bridge Rectified Flow for One-Step Robust Speech Enhancement
SB-RF integrates SB time marginals with RF velocity objectives to train a conditional velocity field that performs single Euler-step enhancement from noisy speech, showing competitive results on VoiceBank-DEMAND and superior results on low-SNR tests.
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Balalaika: Data-Centric, Prosody-Aware Annotation Pipeline for Russian Speech
A new open-source pipeline creates a 5,078-hour Russian speech dataset with prosody annotations, and VITS and SEMamba models trained on it outperform those trained on existing Russian corpora under equalized budgets.