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StyleTTS2

yl4579/StyleTTS2

StyleTTS 2 advances human-like text-to-speech using style diffusion and adversarial training.

GraphCanon updated 3w · GitHub synced 3w

6.3k stars694 forksLast push 2y Python MIT

Decision brief

StyleTTS2 leverages style diffusion and GANs for superior speaker adaptation in text-to-speech applications.

Good fit when

  • When you need highly natural speech synthesis with accurate speaker adaptation through advanced generative models
  • If your project allows for informing listeners that the voice is synthesized, adhering to ethical usage guidelines

Avoid when

  • Avoid if requirements do not align with using models specifically trained on large speech language models
  • Do not use in contexts where explicit disclosure of synthesis is not feasible or appropriate as per ethical considerations

Observed Jul 16, 2026 · Source: enrich:decision_facts

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Maintenance and security

Full trust report
Maintenance
Dormant (718d since push)
As of 3w
Provenance
Not a fork · Personal account
As of 3w
Security (OSV)
No criticals
As of 1mo

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install StyleTTS2
PyPI

Similar tools

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

This project focuses on enhancing the quality of synthesized speech in text-to-speech applications through advanced models such as style diffusion and generative adversarial networks, specifically addressing speaker adaptation for a more natural speaking voice.

Capability facts

Languages
python

Source: github.language · Jul 29, 2026

Categories

Tags

README

License

Code: MIT License

Pre-Trained Models: Before using these pre-trained models, you agree to inform the listeners that the speech samples are synthesized by the pre-trained models, unless you have the permission to use the voice you synthesize. That is, you agree to only use voices whose speakers grant the permission to have their voice cloned, either directly or by license before making synthesized voices public, or you have to publicly announce that these voices are synthesized if you do not have the permission to use these voices.

For agents

This page has a .md twin and JSON over the API.

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