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cs.SD2026
Masked Autoregressive Speech Enhancement with Continuous Neural Audio Codec Representations
Yoto Fujita, Simon Leglaive, Laurent Girin
Most previous work on speech enhancement (SE) based on masked generative modeling relied on discrete token representations of audio signals, obtained using neural audio codecs (NAC…
cs.SD2026
Test-time adaptation for speech enhancement with an autoregressive speech prior
Sofiene Kammoun, Simon Leglaive, Xavier Alameda-Pineda +1
Test-time adaptation (TTA) offers a promising direction for improving speech enhancement models under mismatched acoustic conditions, without requiring access to labeled target dat…