Parler TTS

Parler TTS TTS-värden

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

Registrera dig för 5 000 teckengräns

Radera din text i SSML-taggar för exakt kontroll:

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

Taggar den valda modellen förstår — klicka för att släppa en i din text där det händer:

Den här modellen läser vanlig text, så inline-taggar ignoreras. För taggbaserade känslor, byt till en uttrycksfull modell som Orpheus eller Bark.

Definiera egna uttal (ord = uttal):

-12 +12
0.5x 2.0x
Gratis med Piper, VITS, Melotts
Ditt genererade ljud visas här. Välj en modell, skriv in text och klicka på Generera.
Ljud genereras framgångsrikt
0:00
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Fri nivå: personlig användning. Kommersiell licens från $5/mo
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Om jag inte kan 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.

Bäst för: Creative applications where you need custom voice characteristics

Bläddra alla Parler TTS röster

Med en blick

Utvecklare
Hugging Face
Licens
Apache 2.0
Nivå
standard
Varvtal
medium
Röstkloning
Ej tillämpligt
Språk
English
Max tecken
500

Parler TTS röster

Default

English
Standardvärde Neutral

Parler TTS TTS – FAQ

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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