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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 yako tenzi mu SSML tags kuti zvive nyore kudzora:

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

Tags iyo yakasarudzwa model inonzwisiswa — tinya kuti utore imwe muchinyorwa chako apo inoitika:

Iyi modhi inoverenga chete mazita ezvinyorwa, saka zvinyorwa zvinonyorwa mumitsara hazvina kutariswa. Kuti uwane pfungwa dziri mumitsara, chinja kune imwe modhi inoratidza pfungwa seOrpheus kana Bark.

Define custom pronunciations (word = pronunciation):

-12 +12
0.5x 2.0x
Free with Piper, VITS, MeloTTS
Yako yakagadzirwa audio ichaonekwa pano. Choose a model, enter text, and click Generate.
Audio Yakagadzirwa Nekubudirira
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Free tier: personal usage. Commercial license from $5/mo
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Chii 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.

Yakanaka kune: Audiobooks, premium content, quality-first applications

Tarisa zvese Tortoise TTS mazwi

Mufananidzo

Developer
James Betker
License
Apache 2.0
Tier
premium
Speed
slow
Kutaura
Yes
Zvinhu
English
Max characters
2000

Tortoise TTS mazwi

Random

English
Premium Neutral

Tortoise TTS TTS — Zvinyorwa

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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