Amazon Transcribe now supports vocabulary filtering for real-time transcription

Posted on: May 20, 2020

Amazon Transcribe is an automatic speech recognition (ASR) service that makes it easy for you to add speech-to-text capabilities to your applications. Starting today, when transcribing audio streams, you can instruct Amazon Transcribe to automatically mask, remove, or tag specific terms in the transcription results based on a vocabulary that you specify. For example, you can use a vocabulary filter to automatically remove profane words from the transcription results for content moderation or generating family-friendly captions. You can create a vocabulary filter once and use it when processing multiple audio streams. You can also create multiple vocabulary filters and choose which one should be used for a particular audio stream. With this launch, vocabulary filtering is now available for both Amazon Transcribe’s batch and streaming transcription APIs.

You can use streaming transcription to efficiently and accurately generate transcripts for diverse use cases, such as transcribing calls for contact centers, automatically generating captions for live media broadcasts, and capturing meeting notes for business productivity. 

Vocabulary filtering is available for streaming transcription at no additional cost in all the AWS regions where Amazon Transcribe streaming service is available. To learn more, visit the Amazon Transcribe documentation page.