KhanomTan TTS

KhanomTan TTS የድምፅ ፋይል

An open, commercially-licensed Thai-first text-to-speech model with multiple speaker voices.

ምዝገባ ፊደል(ሎች)

ርዕሱን በSSML መለያዎች ውስጥ ለጥሩ ቁጥጥር ይዞሩት:

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

የተመረጠው ሞዴል የሚያውቃቸው መለያዎች - በጽሑፍዎ ውስጥ የሚከሰትበትን ቦታ ለመውሰድ ጠቅ ያድርጉ፦

ይህ ሞዴል ቀላል ጽሑፍን ያነባል፣ ስለዚህም በመስመር ውስጥ ያሉ ምልክቶች ይዘገያሉ፡፡ ለታክስ-ተኮር ስሜት እንደ ኦርፊየስ ወይም ባርክ ያሉ ግልጽ ሞዴሎችን ይለውጡ።

የራሱን ተናጋሪ ግለጽ (ቃል = ተናጋሪ):

-12 +12
0.5x 2.0x
ነጻ ከፒፐር, VITS, MeloTTS ጋር
የእርስዎ የተፈጠረ ድምፅ እዚህ ይታይ. ሞዴል ይምረጡ፣ ጽሑፍ ያስገቡ፣ እና ይፈጥሩ ላይ ጠቅ ያድርጉ
ድምፅ በፍጥነት ተፈጠረ
0:00
ድምፅ ያውርዱ ያውርዱ መገናኛ በ24 ሰዓት ውስጥ ይቋረጣል
ነጻ ደረጃ: የግል ጥቅም የኮሜርሲ ውል ከ $5/mo
TTS.aiን ወዳጅነት?

ስለ KhanomTan TTS

KhanomTan TTS was built by Thai NLP contributor Wannaphong Phatthiyaphaibun on top of the YourTTS multilingual VITS architecture, and trained on CC0 and other permissively-licensed Thai corpora including TSync. Where most open TTS models only cover Thai under research-only or non-commercial terms, KhanomTan ships under Apache 2.0, making it a rare commercially-safe choice for the language. It offers a small roster of speaker voices and runs fast at roughly five seconds per generation in around 2GB of VRAM. It fits Thai voiceovers, narration for Thai-language apps, and accessibility tooling where licensing clarity matters.

ምርጥ ለ: Thai voiceovers, Thai-language content and apps

ሁሉንም አጥፉ KhanomTan TTS ድምጾች

በጥቂቱ

የድር አዘጋጅ
Wannaphong Phatthiyaphaibun
ፈቃድ
Apache 2.0
ዐምድ
standard
ፍጥነት
fast
የድምፅ ቅጂ
አዎ
ቋንቋዎች
Thai
ፊደላት
500

KhanomTan TTS ድምጾች

Bernard

Thai
መደበኛ Male

Default

Thai
መደበኛ Neutral

Kerstin

Thai
መደበኛ Female

Linda

Thai
መደበኛ Female

Thorsten

Thai
መደበኛ Male

KhanomTan TTS የትርጉም መሳሪያ

Yes. KhanomTan is released under the Apache 2.0 license, so it can be used commercially — which is unusual for open Thai TTS, where most alternatives carry non-commercial restrictions.

On TTS.ai it is configured for Thai. The underlying YourTTS architecture is multilingual, but the deployed model is focused on natural Thai pronunciation and prosody.

No. KhanomTan does not support voice cloning here; it generates speech from its built-in speaker voices. For cloning, use a model like Chatterbox, GPT-SoVITS, or IndexTTS-2.
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