AWS Machine Learning Blog· Suneesh T·· 2026-09-26
Deploying real-time personalized speech with Qwen3-TTS on Amazon SageMaker AI
Deploying real-time personalized speech with Qwen3-TTS on Amazon SageMaker AI
AI summary
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.
Selection record
Threshold 60Official, first-handFirst 38Second 38
Not admittedSum of both 76 < twice the threshold 120
- Source tier
- Official, first-hand; this tier's threshold is 60
- Pre-filter
- passed：部署Qwen3-TTS语音克隆模型教程
A model scores each item twice, independently, against one written standard, out of 100. An item is admitted only when the two scores add up to twice the threshold. The threshold is set per source tier.
Source: AWS Machine Learning Blog · aws.amazon.com