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Parler TTS

Parler TTS TTS

Describe the voice you want in plain English and Parler generates speech matching that description.

0/500 karakterler · 5000 per generation üçin ýaz →
_Gün tertibi 5000 karakter çäk

Metini SSML taglarda dolap dogry kontrol üçin:

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

Saýlanan model aňlaýan taglar — birini metinde goýmak üçin basyň:

Bu model ýönekeý metin okaýar, şonuň üçin hatda taglar gözden düşürilýär. Tag-based emotions for, switch to an expression model like Orpheus or Bark.

Öz sözleriň terjimesini belli et (söz = terjime):

-12 +12
0.5x 2.0x
Piper, VITS, MeloTTS bilen azat
Siziň döreden audioňyz şu ýerde görüner. Bir model saýlaň, metin girin we döred
Ses mübärek bejerildi
0:00
Ses ýükle .srt ýükle Baglanyşyk 24 sagadyň içinde gutarýar
Özüni ulan $5/mo-dan söwda lisenziýasy
TTS.ai-ni söýýäňmi? Dostlaryňa aýt!

Habar Parler TTS

Parler TTS, developed by Hugging Face, replaces voice presets with natural-language control: instead of picking from a fixed list, you write a description such as "a warm female voice with a slight British accent, speaking slowly and clearly," and the model synthesizes speech to match. This makes it unusually flexible for creative work where you need a specific, custom voice character without recording or cloning anyone. It is an 880M-parameter transformer encoder-decoder trained on roughly 45,000 hours of speech, and it is released under the permissive Apache 2.0 license. Parler is English-focused and best suited to applications that benefit from on-demand, describable voice characteristics.

Muňa iň gowy: Creative applications where you need custom voice characteristics

Ehlini _Gözle Parler TTS sesler

Bir seretseň

Developer
Hugging Face
Lisenziýa
Apache 2.0
_Göçür
standard
Tizlik
medium
Ses klonlamak
_Ýok
Diller
English
Maks. karakterler
500

Parler TTS sesler

Default

English
_Öň bellenen Neutral

Parler TTS TTS - Gynançly Soraglar

You describe it in natural language — gender, accent, pace, tone, and recording quality — and Parler generates speech matching the description. There are no preset voices to choose from.

Hugging Face. It is an 880M-parameter transformer encoder-decoder trained on around 45,000 hours of speech and released under Apache 2.0.

No. Parler generates a voice from a text description rather than from a reference recording. For cloning a specific voice, use a model like Chatterbox or GPT-SoVITS.
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