Tortoise TTS

Tortoise TTS TTS

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

Skráðu þig inn fyrir 5.000 stafa takmörk

Wrap texta í SSML tags fyrir nákvæma stjórn:

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

Merki sem valið líkan skilur — smelltu til að sleppa einu í textann þinn þar sem það gerist:

Þetta líkan les venjulegan texta, þannig að innlínumerki eru hunsuð. Fyrir merki sem byggja á tilfinningum, skiptu yfir í tjáningarlíkan eins og Orpheus eða Bark.

Skilgreindu sérsniðna framburð (orð = framburð):

-12 +12
0.5x 2.0x
Frjáls með Piper, VITS, MeloTTS
Hljóðskráin þín birtist hér. Veldu líkan, sláðu inn texta og smelltu á Búa til.
Hljóð búið til
0:00
Sækja hljóð Sækja.srt Tengill rennur út eftir 24 klst
Frjáls tier: persónuleg notkun. Viðskiptaleyfi frá $ 5 / mánuði
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Um 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.

Best fyrir: Audiobooks, premium content, quality-first applications

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Í hnotskurn

Forritari
James Betker
Leyfi
Apache 2.0
Tími
premium
Hraði
slow
Raddklóðun
Tungumál
English
Hámarksstafir
2000

Tortoise TTS raddir

Random

English
Premium Neutral

Tortoise TTS TTS — Algengar spurningar

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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