Create a text transcript using Amazon Transcribe

[12/100] #100DaysOfCloud Today, I created a text transcript of a recorded audio file using Amazon Transcribe.

Amazon Transcribe :
Powered by deep learning technologies, Amazon Transcribe is a fully managed and continuously trained automatic speech recognition service that automatically generates time-stamped text transcripts from audio files. Amazon Transcribe makes it easy for developers to add speech-to-text capabilities to their applications. It uses a deep learning process called automatic speech recognition (ASR) to convert speech into text, quickly and accurately.

Use Cases :

• Get insights from customer conversations

  • With Transcribe Call Analytics, quickly extract actionable insights from customer conversations. AWS Contact Center Intelligence partners and Contact Lens for Amazon Connect offer turnkey solutions to improve customer engagement, increase agent productivity, and surface quality management alerts to supervisors.

• Search and analyze media content

  • Content producers and media distributors can use Amazon Transcribe to automatically convert audio and video assets into fully searchable archives for content discovery, highlight generation, content moderation, and monetization.

• Create subtitles and meeting notes

  • Subtitle your on-demand and broadcast content to increase accessibility and improve customer experience. Use Amazon Transcribe to boost productivity and accurately capture the meetings and conversations that matter to you.

• Improve clinical documentation

  • Medical doctors and practitioners can use Amazon Transcribe Medical to quickly and efficiently document clinical conversations into electronic health record (EHR) systems for analysis. The service is HIPAA- eligible and trained to understand medical terminology.

You can try to Create a text transcript of a recorded audio file using Amazon Transcribe yourself by following the steps from the link below :
GitHub