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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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Ulawulo oluchanekileyo:

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

Ii-tags imodeli ekhethiweyo iqonda - nqakraza ukushiya enye kumbhalo wakho apho isenza khona:

Le modeli ifunda umbhalo oqhelekileyo, ngoko ke i-inline tags ilahleka. Uphawu olusekelwe kwi-emotions, tshintshela kwimodeli ebonisa umbono njenge-Orpheus okanye i-Bark.

Chaza ubeko lwephepha

-12 +12
0.5x 2.0x
Ikhululekile nge Piper, VITS, MeloTTS
Isandi sakho esivelisweyo siza kuvela apha. Khetha imodeli, ngenisa umbhalo, kwaye unqakraze Yenza.
Isandi Sizaliswe Ngempumelelo
0:00
Layisha ezantsi Layisha ezantsi Ikhonkco liphelelwe lixesha kwiyure ezi-24
Inqanaba elikhululekileyo: ukusetyenziswa komuntu siqu. Ilayisensi yezorhwebo ukusuka kwi- $5/inyanga
Uthando TTS.ai? Nceda utshele abalandeli bakho!

I-About 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.

Elungileyo: Audiobooks, premium content, quality-first applications

Khangela konke Tortoise TTS iilizwi

Kwingxelo

Umbhekisi phambili
James Betker
Ilayisensi
Apache 2.0
I-Tier
premium
Isantya
slow
Ukuphinda usebenzise ilizwi
Ewe
Iilwimi
English
Ubukhulu bamagama
2000

Tortoise TTS iilizwi

Random

English
Ixabiso eliphezulu Neutral

Tortoise TTS TTS - Imibuzo ebuzwa rhoqo

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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