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Flare-TTS 28M debuts from-scratch TTS model

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Flare-TTS 28M debuts from-scratch TTS model
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// 49d agoMODEL RELEASE

Flare-TTS 28M debuts from-scratch TTS model

Flare-TTS 28M is a new open-source text-to-speech model trained from scratch on a single A6000 GPU using the LJSpeech dataset. The maker says it already works in English, though the current voice quality still sounds somewhat robotic.

// ANALYSIS

A tiny, from-scratch TTS release like this is more interesting as an engineering proof point than a production voice engine. It shows how far a solo builder can push speech synthesis on modest hardware, even if the output still has a rough edge.

  • 28M parameters makes this firmly a small-model story, not a state-of-the-art voice clone story
  • Training on one A6000 in roughly 24 hours makes the setup accessible to independent researchers and hobbyists
  • LJSpeech gives it a narrow English-only scope, so generalization and multilingual quality are not the point here
  • The release is useful for anyone studying compact TTS architectures, low-budget training, or local speech tooling
  • The “robotish” quality note is a realistic signal: this is a base release worth watching, not a polished consumer voice product
// TAGS
flare-tts-28mttsspeechaudio-gentraininggpuopen-source

DISCOVERED

49d ago

2026-05-02

PUBLISHED

50d ago

2026-05-02

RELEVANCE

8/ 10

AUTHOR

LH-Tech_AI