Tortoise TTS

Tortoise TTS TTS

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

Pierakstīties 5000 rakstzīmju limitam

Aplauzt savu tekstu SSML tagus precīzai kontrolei:

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

Tags izvēlētais modelis saprot — noklikšķiniet, lai iemestu vienu jūsu tekstā, kur tas notiek:

Šis modelis lasa vienkāršu tekstu, tāpēc tiek ignorēti inline tagi. Uz tag-based emocijas, pāriet uz izteiksmīgu modeli, piemēram, Orpheus vai Bark.

Definēt pielāgotu izrunas (vārds = izruna):

-12 +12
0.5x 2.0x
Bez piper, VITS, MeloTTS
Šeit parādīsies jūsu ģenerētais audio. Izvēlieties modeli, ievadiet tekstu un noklikšķiniet ģenerējiet.
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Par 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.

Labākais: Audiobooks, premium content, quality-first applications

Pārlūkot visu Tortoise TTS balsis

Īsumā

Izstrādātājs
James Betker
Licence
Apache 2.0
Līmeņrādis
premium
Ātrums
slow
Balss klonēšana
Valodas
English
Maks. rakstzīmes
2000

Tortoise TTS balsis

Random

English
Prēmija 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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