Ref: https://learn.cantrill.io/courses/1820301/lectures/42176908

• Summary:
• Contents:

Amazon Transcribe - Key Concepts

• 🔧 Automatic Speech Recognition (ASR) service
  • Audio (input) → Text (output)
  • Pay-per-use: billed per second of transcribed audio
  • 💡 ASR is a DL process
• Features:
  • Automatic language identification for multi-lingual audio
  • Language customization
  • Filters for privacy
    • e.g. filter out PII (identify and redact PII)
  • Audience-appropriate language
  • Speaker identification
• Improve accuracy for domain-specific, non-standard terms with:
  • Custom vocabularies (words)
  • Custom language models (context)
    • Provide domain-specific text for Transcribe to learn context of the domain-specific words
• Use cases
  • Full text indexing of audio → allows searching
  • Meeting notes
  • Subtitles/captions and transcripts
  • Amazon Transcribe Call Analytics → Phone call analytics
    • characteristics, summarization, categories, sentiment…
  • Amazon Transcribe Medical

Amazon Transcribe - Toxicity Detection

Ref: https://www.udemy.com/course/aws-ai-practitioner-certified/learn/lecture/44887629

• Transcribe can detect and score voice-based toxicity
  • Leverages both speech cues (tone, pitch) & text cues
• Toxicity categories: sexual harassment, hate speech, threat, abuse, profanity, insult, graphic…

Amazon Transcribe Medical

Ref: https://www.udemy.com/course/aws-ai-practitioner-certified/learn/lecture/44887711

• 🔧 Automatically convert medical-related speech to text
  • ❗HIPAA (Health Insurance Portability and Accountability Act) compliant
  • 💡 Enhancement of Amazon Transcribe, sub-product
• Ability to transcribe medical terminologies such as:
  • Medicine names
  • Procedures
  • Conditions and diseases
• Supports both real-time (microphone) and batch (upload files) transcriptions