Parler TTS

Parler TTS TTS

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

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Bryt teksten i SSML- tagger for nøyaktig kontroll:

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

Merker den valgte modellen forstår – klikk for å slippe en i teksten der den skjer:

Denne modellen leser ren tekst, så merker i teksten blir ignorert. Bytt til en ekspressiv modell som Orfeus eller Bark for å bruke tagger.

Definer selvvalgte uttaler (ord = uttale):

-12 +12
0.5x 2.0x
Fri for piper, VITS, MeloTTS
Her vises din genererte lyd. Velg en modell, skriv inn tekst og trykk Generer.
Lydgenerert vellykket
0:00
Last ned lyd Last ned.srt Lenke utløper om 24 timer
Fritt nivå: personlig bruk. Handelslisens fra $5/mo
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Om 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.

Best for: Creative applications where you need custom voice characteristics

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Med et blikk

Utvikler
Hugging Face
Lisens
Apache 2.0
Nivå
standard
Hastighet
medium
Stemmekloning
Nei
Språk
English
Største antall tegn
500

Parler TTS stemmer

Default

English
Standard Neutral

Parler TTS TTS — OSS

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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