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Tortoise TTS

Tortoise TTS TTS

A quality-first autoregressive model — slow, but among the most realistic open-source speech available.

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Wrap ou tèks nan SSML tags pou presizyon kontwòl:

<speak><prosody rate="slow">Slow speech</prosody></speak>

Tags ke modèl la chwazi konprann — klike pou mete yon nan tèks ou kote li rive:

Modèl sa a li tèks senp, se poutèt sa atik ki nan liy yo pa pran an kont. Pou efè ki baze sou atik, chanje pou yon modèl ekspresyon tankou Orpheus oswa Bark.

Define prononciations Custom (mot = prononciation):

-12 +12
0.5x 2.0x
Gratis ak Piper, VITS, MeloTTS
Son ou kreye a ap parèt isit la. Chwazi yon modèl, antre tèks la, epi klike Kreye.
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Free tier: itilize pèsonèl. Lisans Komèsyal soti nan $5/mo
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Atik Tortoise TTS

Tortoise TTS, created by James Betker, deliberately trades speed for quality. It is an autoregressive multi-voice system using a DALL-E-inspired architecture, and it produces some of the most realistic synthetic speech in the open-source ecosystem, with excellent prosody and speaker similarity. The name is a nod to its pace: it is noticeably slower than most alternatives, but the payoff is studio-grade output. It supports multiple voices and voice cloning (which benefits from a longer reference, around fifteen seconds), making it a long-standing favorite for audiobooks and premium narration where wait time is acceptable. Tortoise is English-focused and released under the permissive Apache 2.0 license.

Pi bon pou: Audiobooks, premium content, quality-first applications

Navigue tout Tortoise TTS Voy

Yon ti gade

Pwogramè
James Betker
Lisans
Apache 2.0
Nivo
premium
Vitès
slow
Klonaj vwa
Wi
Lang
English
Karakteris maksimòm
2000

Tortoise TTS Voy

Random

English
Premium Neutral

Tortoise TTS TTS — FAQ

It is autoregressive and uses a DALL-E-inspired architecture that deliberately prioritizes quality over speed. The trade-off is some of the most realistic open-source speech available, which is why it remains popular for audiobooks despite the wait.

Yes. It supports multi-voice synthesis and voice cloning; results improve with a longer reference, around fifteen seconds of clean audio.

Quality-first applications — audiobooks and premium narration — where its slow but highly realistic output is worth the generation time. It is English-focused and Apache 2.0 licensed.
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