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ZET Speech is a zero-shot adaptive emotion-controllable text-to-speech model that synthesizes emotional speech for any speaker using only a short neutral audio sample and a target emotion label. It employs domain adversarial learning and classifier-free guidance on a diffusion model to disentangle emotional features and generate natural emotional speech for both seen and unseen speakers.
AI named ZET-Speech in December 2025.