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Amazon· Bedrock / NovaDeploying real-time personalized speech with Qwen3-TTS on Amazon SageMaker AI
Guide to deploying Qwen3-TTS for voice cloning on SageMaker
Amazon published a guide showing how to deploy the publicly available Qwen3-TTS-12Hz-1.7B-Base model from SageMaker JumpStart to a real-time inference endpoint for voice cloning.
The model supports 10 languages and cross-lingual cloning, and can generate speech in a target speaker's voice from a short reference recording without retraining.
The post covers deployment using the SageMaker Python SDK, endpoint invocation, configuration, and CloudWatch monitoring.
From the source
With voice cloning, you can generate new speech in a target speaker's voice from a short reference recording, without retraining a model. You can now deploy the publicly available Qwen3-TTS-12Hz-1.7B-Base text-to-speech model from Amazon SageMaker JumpStart to a fully managed, real-time inference endpoint.
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