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Disclaimer: Star Stack provides information about European technology services for educational purposes only. Service listings, sovereignty assessments, and recommendations do not constitute legal, financial, or professional advice. We encourage you to verify all information independently and consult appropriate professionals before making technology decisions. Star Stack is not affiliated with any listed services unless explicitly stated.

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StyleTTS 2 | Star Stack

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StyleTTS 2

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StyleTTS 2

Name: StyleTTS 2
Author: Star Stack

Text-to-speech model using style diffusion and adversarial training

Text-to-Speech (TTS)

Visit Website GitHub 6.4K

About

StyleTTS 2 is a text-to-speech model that generates human-level speech by modeling styles as latent random variables through diffusion. It uses large speech language models as discriminators to improve naturalness without requiring reference speech.

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Sovereignty Score

Recorded assessment version: jurisdiction-ownership-2026-10-04

out of 100

Data completeness25% (Minimal)

Score relies on pessimistic defaults for missing fields

Jurisdictional(56%)

Strong EU base with minimal foreign legal exposure

Legal jurisdiction not specified
No foreign parent provider

Ownership(44%)

Strong EU ownership and control

Bootstrapped (self-funded)
Funding stage unknown (assumed late-stage VC) (Submit verified data to improve this score)
Low acquisition risk (bootstrapped, no investor pressure) (No VC exit timeline, founders retain full control)

More dimensions coming soon

GovernanceComing soon

PortabilityComing soon

LicenseComing soon

CommunityComing soon

How missing data affects scores Submit data corrections

Provider

Yinghao Aaron Li

Quick Facts

Legal jurisdiction: Unknown
Headquarters: United States
Ownership: Bootstrapped
License: MIT
Deployment: Self-host

Evidence and freshness

Verification date unknown. This assessment needs review.

A score is an assessment of recorded facts. Missing evidence and unresolved ownership can affect the result.

Ownership: other
Statement 12/02/2026, confidence 90%.
Read evidence notes
From enrichment pipeline 2026-02-06_03-32-59_c6_v20-validation