Orpheus

Orpheus TTS

A 3B Canopy Labs model trained on 100K hours that reaches human-level emotional expression.

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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.

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Om Orpheus

Orpheus from Canopy Labs is a large 3-billion-parameter model built on a Llama 3.2 backbone with a SNAC audio codec, trained on over 100,000 hours of diverse speech. Its focus is emotional realism: natural emotions, emphasis, and speaking styles that can be hard to tell apart from human recordings. It is English-only but generous on length, accepting up to 2,000 characters per request, which suits audiobooks, voice acting, and other high-quality emotional narration. Because it builds on Llama 3.2, it carries the Llama 3.2 Community license and a 'Built with Llama' attribution rather than a fully permissive one.

Best for: High-quality emotional speech, audiobooks, voice acting

Bla gjennom alle Orpheus stemmer

Med et blikk

Utvikler
Canopy Labs
Lisens
Llama 3.2 Community
Nivå
standard
Hastighet
medium
Stemmekloning
Nei
Språk
English
Største antall tegn
2000

Orpheus stemmer

Dan

English
Standard Male

Jess

English
Standard Female

Leah

English
Standard Female

Leo

English
Standard Male

Mia

English
Standard Female

Tara

English
Standard Female

Zac

English
Standard Male

Zoe

English
Standard Female

Orpheus TTS — OSS

Orpheus targets human-level emotional speech — natural emotions, emphasis, and speaking styles — making it well suited to audiobooks and voice acting. It accepts up to 2,000 characters per request.

Orpheus is built on Llama 3.2 and ships under the Llama 3.2 Community license with a "Built with Llama" attribution, rather than a fully permissive license like Apache 2.0 or MIT.

No. Orpheus is English-only and does not support voice cloning; its strength is high-quality emotional English narration.
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