AWS Machine Learning Blog· Ayush Sharma·· 7 d ago
Speaker-labeled transcription with WhisperX on SageMaker AI
Speaker-labeled transcription with WhisperX on SageMaker AI
AI summary
AWS released the WhisperX Deep Learning Container, adding batch inference, word-level timestamps through wav2vec2 forced alignment and speaker diarisation to OpenAI Whisper. It can be deployed to Amazon SageMaker AI real-time or asynchronous endpoints without building a custom image.
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