Tortoise TTS

Tortoise TTS TTS

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

Teken op vir 5 000 karakterbeperking

Oorvloei jou teks in SSML etiket vir presiese beheer:

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

Merk die gekose model verstaan ooit die woord ooit om een in jou teks te laat val waar dit gebeur:

Hierdie model lees gewone teks, so inlyn etiket word geignoreer. Vir etiket-gebaseerde emosie, wissel na 'n uitdrukkingende model soos Orpheus of Bark.

Definieer pasmaak uitspraak (woord = uitspraak):

-12 +12
0.5x 2.0x
Vry met Pyper, VITS, MiloTTS
Jou gegenereer oudio sal hier verskyn. Kies 'n model, invoer teks, en kliek Genereer.
Klank Genereer suksesvol
0:00
Aflaai klaar gemaak Aflaai klaar gemaak Skakel verstrek in 24h
Vryvlak: persoonlike gebruik. Kommonsielisensie van R5/m
Liefde TTS.ai, vertel jou vriende!

Aangaande 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.

Beste vir: Audiobooks, premium content, quality-first applications

Blaai deur almal Tortoise TTS stemme

Met'n blik

Ontwikkelingvloeistof is minDeveloper
James Betker
Lisensie
Apache 2.0
Tier
premium
Spoed
slow
Stem kloning
Ja
Tale
English
Voeg- agteraan- by Taal
2000

Tortoise TTS stemme

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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