Serverless Speech-to-Text using S3 and Lambda

Published on Apr 30, 2020

See how you can use bring automated speech-to-text into your applications with minimal code. This solution uses Amazon Transcribe to automatically convert mp4 audio clips into text. This type of serverless application can analyze customer support calls, for example, and create a sentiment analysis using Amazon Comprehend. The walkthrough application takes the transcribed text and uses Amazon Comprehend for a sentiment analysis score, which it stores in a DynamoDB table. The whole application can listen to an audio clip and derive a sentiment score to indicate if the conversation is generally positive or negative. All the code is available in a GitHub repo. This series is about the S3-to-Lambda serverless design pattern, and how it can become a flexible core for your serverless applications. To learn more, see the other videos in this series. Learn more about AWS Lambda at https://go.aws/2yTDkgb Subscribe: More AWS videos http://bit.ly/2O3zS75 More AWS events videos http://bit.ly/316g9t4 #AWS #AWSDemo


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