ጽሑፍ ናብ ቃላት መራኸቢታት ሙዚቃ ድምጺ ናብ ጽሑፍ ድምጺ ድምጺ ገበን ተጨማሪ
ረቛሒታት / መተግበሪያታት
Tortoise TTS

Tortoise TTS TTS

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

0/500 ኣርእስቲ · 5,000 ምዝገባ ኣብ ሓደ ትውልዲ →
ምዝገባ 5,000 ካራቴግራም

SSML tags ሒዝካ ጽሑፍካ ሒዝካ ንምውሳድ:

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

ርኢቶታት እቲ ዝተመርጸ ሞዴል ዝፈልጦ — ጠቅልል ንኸውዕሎ ኣብ ጽሑፍካ ኣብ ዝግበር ቦታ:

እዚ ሞዴል'ዚ ጽሑፍ ቀሊል ይንብብ፣ ከምኡ'ውን ኣብ መስመር ዝርከብ ቴግታት ይቕረ ይበሃል። ን tag-based emotion፣ ናብ ሞዴል ስነ-ኣእምሮኣዊ ከም Orpheus ወይ Bark ምቕያር

ድምጺ ተለፎን (ቓል = ድምጺ)

-12 +12
0.5x 2.0x
ነጻ ምስ Piper, VITS, MeloTTS
እቲ ዝተፈጠረ ድምጺ እዚኣ ይርከብ። ሓደ ሞዴል ምረጽ፣ ጽሑፍ ኣትሒዝካ፣ ንተፈጥሮ ጠቅልል።
ድምጺ ተኸፊሉ
0:00
ድምጺ መዝጊብ .srt መዝገብ 24 ሰዓታት
ነጻ ደረጃ: ንባዕልኻ ንምጥቃም. ውልቀ-መዚ ውልቀ-መዚ ካብ $5/month
TTS.ai ትወዳደሮ? ንፍቓድካ ንገረኒ!

ብዛዕባ 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.

ምርኣይ: Audiobooks, premium content, quality-first applications

ርአ Tortoise TTS ቃላት

ኣብ ሓደ ገጽ

መተግበሪያ
James Betker
ውልቀ-መዚ
Apache 2.0
ቍጽሪ
premium
ፍጥነት
slow
ድምጺ
ኣየ
ቋንቋ
English
ቍጽሪ ኣርእስቲ
2000

Tortoise TTS ቃላት

Random

English
ተለቪዥን Neutral

Tortoise TTS ሕቶታት ዝንበረሉ

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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