How AI describes ZET-Speech

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.