1. Upload a mp3 file to the S3 bucket under /shows/{showNum}/{filename}

• the lambda StartTranscription is triggered
  • Using ffmpeg split the file into smaller chucks for processing (AWS has a 2 hour limit)
  • upload the chunks to /splits/{showNum}/out-###.mp3
  • call the startTranscriptionJob lambda
• The TranscriptBuilder state machine is kicked off
  • Start the jobs in parallel, one job per file
  • wait 33 seconds
  • check for completion
  • Loop until done
  • When done, call the getTranscript lambda and build the output file
  • write JSON to S3

The state machine is based on the AWS Job Status Poller sample

Project uses:

• AWS Transcribe
• AWS Step Functions
• AWS SAM Templates
• Typescript
• Rollup

This is a rough initial checkin.

• Split out StartTranscription into another template since, the step functions don't need ffmpeg
• Create typescript interface for the step function payload
• Improve testing
• Build out error handling and retry logic
• Send email on completion of job
• Put an HTTP endpoint to transform the json into HTML or Text for publication
• Build a UI to upload episodes OR poll RSS for new ones
• Add timestamps to text and link to player