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AWS has enabled deploying the publicly available Qwen3-TTS-12Hz-1.7B-Base text-to-speech model from SageMaker JumpStart to a fully managed real-time endpoint, allowing voice cloning from a short reference clip while preserving speaker identity across languages.

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Qwen3-TTS on Amazon SageMaker AI: Real-Time Voice Cloning for Arabic

What's new?

FAQ

What is Qwen3-TTS?

It is a publicly available text-to-speech model with 1.7B parameters at a 12Hz variant, deployable on Amazon SageMaker AI via SageMaker JumpStart to a fully managed real-time endpoint.

What is cross-lingual cloning?

It is the model's ability to clone a speaker's voice from a short reference clip and then speak another language while preserving the speaker's identity.

Is this useful for MENA teams?

Yes. Cross-lingual cloning allows one voice to serve several markets and languages, which helps customer service, media, and educational content in the region, provided local consent and data rules are respected.

Do I need to manage GPU servers myself?

No. Deploying via SageMaker JumpStart to a managed real-time endpoint reduces the need to manage infrastructure directly, according to the source.

Source: AWS Machine Learning

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