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AWS provided deployment guidance and managed endpoints on Amazon SageMaker AI for WhisperX speaker-labeled transcription and Qwen3-TTS real-time personalized voice cloning

Feature update Provisional 66% confidence first seen

AWS published how to deploy the WhisperX speech-to-text container on Amazon SageMaker AI to generate transcripts with word-level timestamps and speaker (diarization) labels, including guidance on using synchronous versus asynchronous endpoints. Separately, Amazon SageMaker JumpStart added a publicly available Qwen3-TTS-12Hz-1.7B model deployment that supports real-time voice cloning through a managed inference endpoint.

Amazon SageMaker AI Amazon SageMaker JumpStart Amazon Web Services Qwen3-TTS-12Hz-1.7B-Base WhisperX AWS Amazon SageMaker real-time endpoint Amazon WhisperX Deep Learning Container Wav2Vec2 Whisper

Source coverage

Speaker-labeled transcription with WhisperX on SageMaker AI Amazon Web Services Deploying real-time personalized speech with Qwen3-TTS on Amazon SageMaker AI Amazon Web Services

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