WORLDTECHDeploying real-time personalized speech with Qwen3-TTS on Amazon SageMaker AI
First reported Source: AWS Machine Learning BlogLast editorial activity
What happened
Deploy the publicly available Qwen3-TTS-12Hz-1.7B-Base text-to-speech model from Amazon SageMaker JumpStart to a fully managed, real-time endpoint, and clone a voice from a short reference clip. Cross-lingual cloning preserves the speaker's identity across languages.
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. The model speaks that text in the reference speaker’s voice, without retraining.
Sources & evidence
- AWS Machine Learning Blog Primary / official
Deploying real-time personalized speech with Qwen3-TTS on Amazon SageMaker AI ↗
https://aws.amazon.com/blogs/machine-learning/deploying-real-time-personalized-speech-with-qwen3-tts-on-amazon-sagemaker-ai/