Parler TTS

Parler TTS TTS

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

Skráðu þig inn fyrir 5.000 stafa takmörk

Wrap texta í SSML tags fyrir nákvæma stjórn:

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

Merki sem valið líkan skilur — smelltu til að sleppa einu í textann þinn þar sem það gerist:

Þetta líkan les venjulegan texta, þannig að innlínumerki eru hunsuð. Fyrir merki sem byggja á tilfinningum, skiptu yfir í tjáningarlíkan eins og Orpheus eða Bark.

Skilgreindu sérsniðna framburð (orð = framburð):

-12 +12
0.5x 2.0x
Frjáls með Piper, VITS, MeloTTS
Hljóðskráin þín birtist hér. Veldu líkan, sláðu inn texta og smelltu á Búa til.
Hljóð búið til
0:00
Sækja hljóð Sækja.srt Tengill rennur út eftir 24 klst
Frjáls tier: persónuleg notkun. Viðskiptaleyfi frá $ 5 / mánuði
Elska TTS.ai? Segðu vinum þínum!

Um 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 fyrir: Creative applications where you need custom voice characteristics

Skoða allt Parler TTS raddir

Í hnotskurn

Forritari
Hugging Face
Leyfi
Apache 2.0
Tími
standard
Hraði
medium
Raddklóðun
Nei
Tungumál
English
Hámarksstafir
500

Parler TTS raddir

Default

English
Sjálfgefið Neutral

Parler TTS TTS — Algengar spurningar

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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