![Analyzing historical speeches using Amazon Transcribe and Comprehend | by Gabriel dos Santos Gonçalves | Towards Data Science Analyzing historical speeches using Amazon Transcribe and Comprehend | by Gabriel dos Santos Gonçalves | Towards Data Science](https://miro.medium.com/max/1838/1*ycnkUg6U933C6pVcvIV7RQ.png)
Analyzing historical speeches using Amazon Transcribe and Comprehend | by Gabriel dos Santos Gonçalves | Towards Data Science
![Build a custom vocabulary to enhance speech-to-text transcription accuracy with Amazon Transcribe | AWS Machine Learning Blog Build a custom vocabulary to enhance speech-to-text transcription accuracy with Amazon Transcribe | AWS Machine Learning Blog](https://d2908q01vomqb2.cloudfront.net/f1f836cb4ea6efb2a0b1b99f41ad8b103eff4b59/2019/06/27/custom-vocab-10.gif)
Build a custom vocabulary to enhance speech-to-text transcription accuracy with Amazon Transcribe | AWS Machine Learning Blog
Issue in getting wav files uploaded in S3 · Issue #20 · amazon-connect/ amazon-connect-realtime-transcription · GitHub
![Enhancing speech-to-text accuracy of COVID-19-related terms with Amazon Transcribe Medical | AWS Machine Learning Blog Enhancing speech-to-text accuracy of COVID-19-related terms with Amazon Transcribe Medical | AWS Machine Learning Blog](https://d2908q01vomqb2.cloudfront.net/f1f836cb4ea6efb2a0b1b99f41ad8b103eff4b59/2020/05/15/image004-1.jpg)
Enhancing speech-to-text accuracy of COVID-19-related terms with Amazon Transcribe Medical | AWS Machine Learning Blog
GitHub - amazon-connect/amazon-connect-realtime-transcription: Transcribe Live Customer Audio for Amazon Connect using Amazon Kinesis Video Streams and Amazon Transcribe
![AI Automated dubbing : Building an end-to-end Youtube audio translation platform using AWS serverless architecture | by Ramsri Goutham | The Startup | Medium AI Automated dubbing : Building an end-to-end Youtube audio translation platform using AWS serverless architecture | by Ramsri Goutham | The Startup | Medium](https://miro.medium.com/max/2000/1*V4gVgYgK8NXOkKrWHXmsog.png)