FlowEdit: Associative Memory for Lifelong Pronunciation Adaptation in Flow-Matching TTS

Even the best text-to-speech systems stumble on proper nouns — a product name pronounced wrong in a voice assistant, or a person's name mangled by a navigation system, can undermine trust immediately. Retraining a full TTS model to fix these errors is expensive and slow. FlowEdit offers an elegant alternative: when a correction is provided, it stores a targeted adjustment in an associative memory network, allowing future instances of similar words to be pronounced correctly without touching model weights. The result is a self-improving speech system with clear applications in enterprise voice products, personalized assistants, and multilingual customer-facing tools.