yl4579/StyleTTS2

Health v2 · maintenance only

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6336 stars · 700 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

StyleTTS 2 is a PyTorch text-to-speech model that uses style diffusion and adversarial training with large speech language models (e.g., WavLM) to achieve human-level speech synthesis. It supports single-speaker and multi-speaker synthesis, zero-shot speaker adaptation, and finetuning for new speakers.

Use cases

• convert text to natural-sounding speech
• clone a voice from a short reference audio clip
• synthesize speech without a reference recording using style diffusion
• finetune a TTS model on a new speaker's voice
• run zero-shot multi-speaker speech synthesis
• generate audiobook-style narration from text

When to choose

• you need state-of-the-art, human-level TTS quality in English
• you want zero-shot speaker adaptation from pretrained models
• you need a research-grade TTS model you can finetune
• you want speech synthesis without requiring reference audio

When to avoid

• you need production TTS for many languages (primarily English datasets)
• you lack a GPU or want lightweight on-device inference
• you need a simple plug-and-play API rather than research code
• you need non-Python integration out of the box

Facets

library · maturity active

tts machine-learning deep-learning speech-processing deep-learning machine-learning python cross-platform text-to-speech speech-synthesis diffusion-models adversarial-training pytorch zero-shot-voice-cloning wavlm style-diffusion gpu

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