Electronic device and personalized text-to-speech model generation method of the electronic device

This invention describes an electronic device that creates a personalized synthetic voice for a user. It works by recording the user speaking specific texts, then uses this data to train a voice model. Uniquely, it pauses during training to let the user hear an early version of their synthetic voice and provide feedback, which then guides how the training continues, potentially requesting more recordings or adjusting the process.

Why it matters: Filed before current generative AI models made high-quality personalized voice synthesis more accessible. The claimed feedback loop is now more effective with improved intermediate result generation and faster training iterations.

Status: ExpiredProtection ended and was never renewed
How hard to build: SpecializedMachine learning algorithms, audio processing, user interface.

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