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کړاو راپورول / د ځانتيا غوښتنه
GPT-SoVITS

GPT-SoVITS ټي ټي اېس

A few-shot voice cloning model that replicates a voice — and can even sing — from as little as five seconds of audio.

0/500 لوښه · د هر نسل لپاره د 5,000 لپاره نوم لیکنه وکړئ →
ننوتل د 5,000 لوښه حد

د دقیق کنټرول لپاره په SSML نښانونو خپل متن واچوئ:

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

توري د ټاکل شوي ماډل پوهیږي - کلیک وکړئ چې ستاسو په متن کې یو راښکته کړئ چیرې چې دا پیښیږي:

دا ماډل لوستل ساده متن، نو inline نښانونه په پام کې نه نيول کيږي. د نښان پر بنسټ احساس، د يو څرګند ماډل لکه Orpheus يا Bark بدل.

دوديزه لوستنه پېژندل (ويې = لوستنه):

-12 +12
0.5x 2.0x
د پيپر، VITS، MeloTTS سره وړيا
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په اړه GPT-SoVITS

GPT-SoVITS, created by the developer known as RVC-Boss, combines GPT-style language modeling with SoVITS (Singing Voice Conversion / synthesis) to deliver some of the most accessible voice cloning in open source. With as little as five seconds of reference audio it captures a speaker's timbre and style, and it stands out from most TTS models in handling singing as well as speech. It works across English, Chinese, Japanese, and Korean and supports cross-lingual generation, so a cloned voice can speak a language the reference clip never used. It is widely used by content creators for voice replication, dubbing, and song covers, and reaches high fidelity for a model of its size.

غوره د: Voice cloning, singing synthesis, content creator voice replication

ټول لټول GPT-SoVITS غږونه

په يوه کتنه کې

جوړوونکی
RVC-Boss
منښتليک
MIT
:د پاڼې نوم
standard
چټکتيا
slow
غږ کلونول
هو
ژبې
English, Chinese, Japanese, Korean
ټولوجګه لوښه
500

GPT-SoVITS غږونه

Default

Chinese
تلواله Neutral

English Default

English
تلواله Neutral

Japanese Default

Japanese
تلواله Neutral

Korean Default

Korean
تلواله Neutral

GPT-SoVITS د پوښتنو ځوابول

As little as five seconds. It uses few-shot learning, so a short reference clip is enough to capture a speaker, though a cleaner and slightly longer sample improves similarity.

Yes. Its SoVITS lineage comes from singing voice synthesis, so unlike most TTS models it can generate singing as well as spoken voice, which is why it is popular for song covers.

English, Chinese, Japanese, and Korean, with cross-lingual synthesis — a voice cloned from one language can be made to speak the others.
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