Deploying real-time personalized speech with Qwen3-TTS on Amazon SageMaker AI | Amazon Web Services

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.

Voice cloning reproduces the vocal identity of a specific speaker. Start with a short recording of the speaker and its transcript. Then supply the new text to synthesize. The model speaks that text in the reference speaker’s voice, without retraining. Media teams, educators, and application developers can use this capability to create personalized voice experiences and localize multilingual content. They can also support accessible communication and preserve a speaker’s identity across languages.

With a self-hosted, publicly available voice cloning model, you control cost and keep audio data within your AWS environment. You can also adapt the model to…