StyleTTS2

StyleTTS 2 is an advanced text-to-speech (TTS) synthesis model that utilizes style diffusion and adversarial training with large speech language models to generate human-level speech output. It innovatively models voice styles as latent variables using diffusion models without the need for reference speech, enabling more efficient and natural-sounding voice generation across multiple speakers. This tool surpasses human performance on single-speaker datasets and competes favorably with human recordings on multispeaker datasets, showcasing its effectiveness in zero-shot speaker adaptation and naturalness in speech synthesis.