# Amazon — Deploying real-time personalized speech with Qwen3-TTS on Amazon SageMaker AI

- Company: Amazon (amazon.com)
- Announced: 2026-09-25T16:09:46+00:00
- Category: not stated
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://aws.amazon.com/blogs/machine-learning/deploying-real-time-personalized-speech-with-qwen3-tts-on-amazon-sagemaker-ai/
- Record: https://forck.live/items/13894-deploying-real-time-personalized-speech-with-qwen3-tts-on-amazon-sagemaker-ai
- Subject: Bedrock / Nova
- Models affected: Qwen3-TTS-12Hz-1.7B-Base, Qwen3-TTS-12Hz-1.7B-CustomVoice, Qwen3-ASR-1.7B

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.

## Evidence

Verbatim from https://aws.amazon.com/blogs/machine-learning/deploying-real-time-personalized-speech-with-qwen3-tts-on-amazon-sagemaker-ai/:

> 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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