#zero-shot speaker adaptation

The article introduces StyleTTS 2, a text-to-speech synthesis model leveraging style diffusion and adversarial training with large speech language models. This approach synthesizes varied and natural speech without needing reference audio, employing advanced techniques to enhance naturalness. StyleTTS 2 excels in zero-shot speaker adaptation, surpassing traditional models on the LibriTTS dataset. It performs at or above human-level quality across single and multi-speaker datasets, demonstrating the efficacy of style diffusion combined with adversarial training for TTS advancements.