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Modern Hopfield Network

techniqueactiveprovisionalmodern-hopfield-network-7a7a9e09·1 events·first seen 47h ago

Aliases: Modern Hopfield Network

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5arXiv · cs.AI·47h ago·source ↗

FlowEdit: Lifelong pronunciation adaptation for flow-matching TTS via associative memory

FlowEdit is a new framework enabling lifelong pronunciation correction in frozen flow-matching text-to-speech systems without retraining model weights. Corrections are stored as token-level perturbations in text embedding space within a Modern Hopfield Network, retrieved at inference via soft attention with fuzzy morphological matching. On a curated benchmark of 312 multilingual proper nouns across 18 language families, the method reduces target-word Phoneme Error Rate by 92.7% relative to the zero-shot baseline, with each correction completing in ~15 seconds on a single GPU.