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Tortoise TTS

Tortoise TTS TTS

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

0/500 Aksara · Daftar untuk 5,000 per generasi →
Daftar masuk had 5,000 aksara

Lilitkan teks anda dalam tag SSML untuk kawalan tepat:

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

Tag model dipilih memahami - klik untuk jatuhkan satu ke dalam teks anda di mana ia berlaku:

Model ini membaca teks biasa, jadi tag dalam baris diabaikan. Untuk emosi berdasar tag, beralih ke model ekspresif seperti Orpheus atau Bark.

Tetapkan sebutan tersendiri (perkataan = sebutan):

-12 +12
0.5x 2.0x
Bebas dengan Piper, VITS, MeloTTS
Audio yang dijana akan muncul di sini. Pilih model, masukkan teks, dan klik Janakan.
Audio Dijana Dengan Berjaya
0:00
Muat turun Audio Muat turun.srt Pautan luput dalam 24 jam
Tahap percuma: penggunaan peribadi. Lesen Komersial dari $5/mo
Cinta TTS.ai? Beritahu kawan-kawan anda!

Tentang 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.

Terbaik untuk: Audiobooks, premium content, quality-first applications

Layari semua Tortoise TTS suara

Dengan sekejap mata

Pemaju
James Betker
Lesen
Apache 2.0
Tajuk
premium
Kelajuan
slow
Klon suara
Ya
Bahasa
English
Aksara maksimum
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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