Test-time adaptation for speech enhancement with an autoregressive speech prior

arXiv:2609.03622 · cs.SD, cs.AI · Submitted 2026-09-03 · Read on arXiv

cs.SD, cs.AI

Submitted: 2026-09-03

Updated: 2026-09-03

Terminology

• Adaptation — 44× in this paper · explained in 1 episode
• Latent Space — 7× in this paper · explained in 7 episodes
• Latent Representation — 6× in this paper · explained in 2 episodes
• Loss Function — 6× in this paper · explained in 2 episodes
• Generalization — 5× in this paper · explained in 13 episodes
• Alignment — 4× in this paper · explained in 1 episode
• Domain Adaptation — 4× in this paper · explained in 5 episodes
• Latent Representations — 4× in this paper · explained in 3 episodes
• Test-time Adaptation (TTA) — 2× in this paper · explained in 3 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Adversarial Training — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Calibration — 1× in this paper · explained in 7 episodes
• Catastrophic Forgetting — 1× in this paper · explained in 5 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Core — 1× in this paper · explained in 2 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Distribution Shift — 1× in this paper · explained in 5 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Optimal Transport — 1× in this paper · explained in 5 episodes
• Quantization — 1× in this paper · explained in 12 episodes
• Robustness — 1× in this paper · explained in 5 episodes

Sources

• LibriMix: An Open-Source Dataset for Generalizable Speech Separation
• NU-GAN: High resolution neural upsampling with GAN
• Spectral Codecs: Improving Non-Autoregressive Speech Synthesis with Spectrogram-Based Audio Codecs

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