P2Flow: Phoneme-aware Progressive Flow Matching for Extreme Speech Super-Resolution

arXiv:2609.24138 · eess.AS, cs.LG, cs.SD · Submitted 2026-09-21 · Read on arXiv

eess.AS, cs.LG, cs.SD

Submitted: 2026-09-21

Updated: 2026-09-21

Comments: Under review

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Flow Matching — 11× in this paper · explained in 7 episodes
• Ablation — 5× in this paper · explained in 1 episode
• Fidelity — 5× in this paper · explained in 2 episodes
• Transformer — 5× in this paper · explained in 2 episodes
• Generative Model — 4× in this paper · explained in 2 episodes
• Generative Models — 4× in this paper · explained in 2 episodes
• Ablation study — 3× in this paper · explained in 1 episode
• Diffusion Model — 3× in this paper · explained in 8 episodes
• Diffusion Models — 2× in this paper · explained in 6 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Accuracy — 1× in this paper · explained in 1 episode
• Adversarial Training — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Embeddings — 1× in this paper · explained in 2 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Generative Modeling — 1× in this paper · explained in 3 episodes
• Reconstruction Error — 1× in this paper · explained in 2 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes

Sources

• A Survey of Advancing Audio Super-Resolution and Bandwidth Extension from Discriminative to Generative Models
• Audio Super Resolution using Neural Networks
• CodecFlow: Efficient Bandwidth Extension via Conditional Flow Matching in Neural Codec Latent Space
• A2SB: Audio-to-Audio Schrodinger Bridges

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