Preprint
Aug 2026
Rethinking Language Model-Based Generative Speech Enhancement in the Latent Space of a Neural Audio Codec
A unified framework covering six popular LM-based generative SE modeling paradigms based on discrete/continuous latent NAC features, and a fine-tuning strategy with auxiliary losses on reconstructed speech to improve both intrusive and non-intrusive metrics is presented.
Yihui Fu, Zhengyang Li, Tim Fingscheidt
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