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yl4579/StyleTTS2

StyleTTS 2 is a cutting-edge text-to-speech model achieving human-level speech synthesis through style diffusion and adversarial training with large speech language models.

Core Features

Achieves human-level TTS synthesis, surpassing or matching human recordings on datasets.

Utilizes style diffusion to generate diverse and suitable speech styles without reference audio.

Employs adversarial training with large Speech Language Models (SLMs) like WavLM for improved naturalness.

Supports efficient zero-shot speaker adaptation, outperforming previous models.

Features end-to-end training with novel differentiable duration modeling.

Quick Start

pip install -r requirements.txt

Detailed Introduction

StyleTTS 2 represents a significant advancement in text-to-speech technology, pushing the boundaries towards human-level speech synthesis. It innovates by modeling speech styles as a latent random variable through diffusion models, enabling the generation of highly suitable and diverse styles without requiring reference speech. Furthermore, the model integrates large pre-trained Speech Language Models (SLMs) such as WavLM as discriminators within an adversarial training framework, coupled with a novel differentiable duration modeling for end-to-end optimization. This sophisticated approach results in remarkably natural-sounding speech, demonstrating superior performance on both single and multi-speaker datasets, and state-of-the-art zero-shot speaker adaptation capabilities.