AWS Machine Learning Blog· Ayush Sharma·· 2026-09-25
Speaker-labeled transcription with WhisperX on SageMaker AI
Speaker-labeled transcription with WhisperX on SageMaker AI
AI summary
The AWS WhisperX Deep Learning Container packages Whisper, wav2vec2 forced alignment, and speaker diarization into a GPU-ready image. Learn how to deploy it to Amazon SageMaker AI real-time and asynchronous endpoints for word-level, speaker-labeled transcription, plus the production details that matter: the GPU AMI pin, scaling, and cost controls.
Selection record
Threshold 60Official, first-handFirst 34Second 22
Not admittedSum of both 56 < twice the threshold 120
- Source tier
- Official, first-hand; this tier's threshold is 60
- Pre-filter
- passed：WhisperX语音转写模型部署教程，明确AI技术
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