Fréchet Distance Loss on Speech Representations for Text-to-Speech Synthesis

Paper introduces a Fréchet distance loss on speech representations for training few-step diffusion and flow-matching TTS models. The loss complements local objectives like conditional flow matching, improving global naturalness of generated speech.