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Systems capable of replicating vocal identities from short samples with low latency.
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This project is a neural text-to-speech engine and voice cloning toolkit designed to generate synthetic speech that mimics the vocal characteristics of a target speaker. It functions as a real-time audio synthesizer, utilizing a deep learning pipeline to convert written text into high-fidelity speech output with minima
Enables instantaneous vocal identity cloning from brief audio clips using efficient transfer learning techniques.