Tortoise TTS

Tortoise TTS TTS

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

Ndaftar for 5,000 characters limit

Nglapisi teks ing tag SSML kanggo kontrol sing tepat:

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

Tag kang dipahami model kang dipilih — klik kanggo ngethok siji menyang teks sampeyan ing ngendi iku kedadeyan:

Model ieu maca teks biasa, jadi tag inline diabaikan. Pikeun emosi dumasar tag, ganti ka model ekspresif kayaning Orpheus atawa Bark.

Nyathet pangucapan standar (kata = pangucapan):

-12 +12
0.5x 2.0x
Bebas karo Piper, VITS, MeloTTS
Audio anu dihasilkeun bakal muncul di dieu. Pilih model, ketok teks, sarta ketok Janji.
Audio berhasil diciptakan
0:00
Muat turun audio Muat turun.srt Link expires in 24h
Kacamatan iki kalebu: Kacamatan Semarang. Lisénsi komersial saka $ 5 / mo
Love TTS.ai? Nyathet kanca-kancamu!

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.

Paling apik kanggo: Audiobooks, premium content, quality-first applications

Nglayar kabeh Tortoise TTS suara

Ing cetha

Pangembang
James Betker
Lisensi
Apache 2.0
Tingkat
premium
Kecepatan
slow
Kloning suara
Iya
Basa
English
Karakter paling akeh
2000

Tortoise TTS suara

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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