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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 Ụdị · Nweta 5,000 kwa afọ →
Akaụntụ maka 5,000 akara oghe

Kpọchie ngwe gị n'ime SSML táàbụ̀ maka nlekọta ziri ezi:

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

Táàbụ̀ nke móòdù ahụ a họọrọ na-aghọta - pịa ka ịkpụga otu n'ime ngwe gị ebe ọ na-eme:

Móòdù a na-agụ ngwe nkịtị, yabụ na a na-ewepụta inline táàbụ̀. Maka táàbụ̀-n'okpuru n'émóòdù, gbanwee ka móòdù na-egosi ihe dịka Orpheus mọọbụ Bark.

Ndesịta okwu emeredịkachọrọ:

-12 +12
0.5x 2.0x
Free na Piper, VITS, MeloTTS
Ọdịdị gị ga-egosipụta ebe a. Họrọ móòdù, tinye ngwe, ma pịa Kewapụta.
Ọdịdị a mepụtala nke ọma
0:00
Bubata ụda Bubata.srt Ndesịta njikọ ahụ ga-agwụ n'ime 24h
Free tier: ojiji onwe onye. Commercial license site na $5/mo
Mee ka ọ bụrụ ụda gị Kloo ụda n'ime sekọnd 30
Ị hụrụ TTS.ai? Kpọtụrụ enyi gị!

_N'ihe banyere 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.

Ọkachasị maka: Creative applications where you need custom voice characteristics

Nlegharịa niile Parler TTS ụda

N'ime nlele

Ńkwádò
Hugging Face
Ikikere
Apache 2.0
Tier
standard
Nhazi
medium
Nhazi ụda
Ọ bụghị
Asụsụ ndị ahụ
English
Ụhara Max
500

Parler TTS ụda

Default

English
Dìfọ́ọ̀ltụ̀ Neutral

Parler TTS TTS - Ajụjụ ndị na-emekarị

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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