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 Duration 14 hours

Course Outline

Introduction to Audio AI

  • Defining Audio AI and outlining its core capabilities
  • Distinguishing between voice, sound, and speech AI
  • Reviewing examples of popular tools and platforms

Categories of Audio AI Applications

  • Speech recognition and automated transcription
  • Voice assistants and conversational agents
  • Audio classification and event detection

Industry-Specific Use Cases

  • Customer service and contact center operations
  • Media, podcasting, and educational sectors
  • Security, compliance, and law enforcement activities

Utilizing Audio AI Tools (Demonstrations)

  • Performing live transcription using Whisper or Azure Speech
  • Applying basic audio enhancement via AI noise reduction
  • Reviewing tools for voice cloning and synthesis

Selecting the Appropriate Platform

  • Comparing Cloud APIs against open-source libraries
  • Assessing costs, accuracy, and scalability
  • Vendor analysis: Google, Microsoft, OpenAI, and ElevenLabs

Ethical and Legal Implications

  • Managing audio data privacy and consent
  • Considering the use of generated voices and deepfakes
  • Establishing guidelines for safe and compliant deployment

Exploration Lab: Practical Application of Audio AI Concepts

  • Hands-on exploration of tools for transcription, noise reduction, and classification
  • Group exercises focused on selecting business cases and matching appropriate AI tools
  • Team discussions covering challenges, assumptions, and success metrics

Recap and Future Steps

Requirements

  • A basic grasp of general AI or data-related terminology
  • Basic familiarity with digital workflows or enterprise systems

Target Audience

  • Business leaders investigating AI-driven voice and audio solutions
  • Product managers and innovation teams assessing potential use cases
  • Government or corporate personnel involved in digital transformation initiatives

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