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Parler TTS

Parler TTS TTS

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

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Wrap test tiegħek fil-tags SSML għall-kontroll preċiż:

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

Tags li l-mudell magħżul jifhem — ikklikkja biex tqiegħed waħda fit-test tiegħek fejn jiġri:

Dan il-mudell jaqra test sempliċi, għalhekk it-tags inline huma injorati.Għal emozzjoni bbażata fuq it-tag, aqleb għal mudell espressiv bħal Orpheus jew Bark.

Iddefinixxi pronunzji tad-dwana (kelma = pronunzja):

-12 +12
0.5x 2.0x
Ħieles ma Piper, VITS, MeloTTS
L-awdjo iġġenerat tiegħek se jidher hawnhekk. Agħżel mudell, daħħal it-test, u kklikkja Iġġenera.
Awdjo Iġġenerat b'suċċess
0:00
Niżżel l-awdjo Niżżel.srt Il-link tiskadi f'24 siegħa
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Agħmel dan il-vuċi tiegħek stess Klona vuċi f'30 sekonda
Imħabba TTS.ai? Għid lill-ħbieb tiegħek!

Dwar 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.

L-aħjar għal: Creative applications where you need custom voice characteristics

Ibbrawżja kollox Parler TTS vuċijiet

Daqqa t'għajn

Żviluppatur
Hugging Face
Liċenzja
Apache 2.0
Annimali
standard
Veloċità
medium
Klonazzjoni tal-vuċi
Nru
Lingwi
English
Karattri massimi
500

Parler TTS vuċijiet

Default

English
Standard Neutral

Parler TTS TTS — Mistoqsijiet Frekwenti

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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