Tortoise TTS

Tortoise TTS TTS

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

Inscríbete límite de 5. 000 caracteres

Incluír o texto en etiquetas SSML para un control preciso:

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

Etiquetas que o modelo escollido entende - prema para deixar unha no texto onde ocorre:

Este modelo le texto simple, polo que se ignoran as etiquetas inline. Para emocións baseadas en etiquetas, cambie a un modelo expresivo como Orpheus ou Bark.

Definir pronunciacións personalizadas (palabra = pronunciación):

-12 +12
0.5x 2.0x
Libre con Piper, VITS, MeloTTS
O son xerado aparecerá aquí. Escolla un modelo, introduza o texto e prema Xerar.
O son xerou correctamente
0:00
Obter o son Obter.srt A ligazón caduca en 24 horas
Nivel libre: uso persoal. Licenza comercial desde $5/mes
Encántalle TTS.ai? Cóntallo aos teus amigos!

Acerca de 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.

Mellor para: Audiobooks, premium content, quality-first applications

Examinar todo Tortoise TTS voces

De un vistazo

Desenvolvente
James Betker
Licenza
Apache 2.0
Tier
premium
Velocidade
slow
Clonaxe de voz
Si
Linguas
English
Caracteres máximos
2000

Tortoise TTS voces

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.
← Todas as voces