Parler TTS

Parler TTS TTS

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

Ṣẹ̀dà fun àwọn àmì-àṣírí 5,000

Fi àkọlé rẹ pamọ́ sí àwọn àmì-ìwé SSML fún ìdáràn:

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

Àwọn Àmì-ìwé tí àwọn ìṣàmúlò-ètò tí a yàn gbọ́ - tẹ̀ láti fi ọkan sínú àkọ́lé rẹ̀ nínú àwọn ààyè-iṣẹ́ tí o bá jẹ́:

Àwọn àwọn àkọlé àwọn ààyè-iṣẹ́ àwọn àwọn àmì-ìwé àwọn àmì-ìwé àwọn àwọn àmì-ìwé àwọn à

Àwọn àwọn ìṣàfarawé àwọn àwọn ìṣàfarawé àwọn (ọrọ = ìṣàfàlì):

-12 +12
0.5x 2.0x
Free pẹlu Piper, VITS, MeloTTS
Àwọn àwòrán tí o ti ṣẹ̀dà tí o bá han níbẹ̀. Yan àwọn àwòrán, tẹ̀lẹ̀ àkọlé, ki o si tẹ̀ Ṣẹ̀dà.
Àwọn àwọn àwòrán tí a ṣẹ̀dà
0:00
Ṣàfikún Àwọn Àmì-ìwé Ṣàfikún.srt Líǹkì náà kù nínú 24h
Ìjádé ọ̀fẹ́: ìlòjútó ara ẹni. Lisensi Iṣowo ori lati $5/mo
O fẹ́ TTS.ai? Fì sọ̀kalẹ̀ fún àwọn ọrẹ̀ rẹ̀!

Ààyè-iṣẹ́ 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.

Tí o dara jù fún: Creative applications where you need custom voice characteristics

Wá Gbogbo àwòrán Parler TTS Àwọn àwòrán

Nínú àwọn ìṣàfarawé

Àwọn Àkọlé
Hugging Face
Àwọn Ààyè-iṣẹ́
Apache 2.0
Àwọn àwọn ààyè-iṣẹ́
standard
Ìjánu-ìṣàmúlò-ètò
medium
Ìṣàfarawé àwọn àmì-ìwé
Àwọn àwọn àgbéwọlé
Àwọn
English
Àwọn àyọkà ìpele
500

Parler TTS Àwọn àwòrán

Default

English
Àwọn ìpéwọ̀n Neutral

Parler TTS Àwọn Àtòjọ-ẹ̀yàn

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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