Schulungsübersicht

Introduction to Audio AI

  • Defining Audio AI and its key capabilities
  • Differences between voice, sound, and speech AI
  • Examples of popular tools and platforms

Categories of Audio AI Applications

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

Use Cases Across Industries

  • Customer service and contact centers
  • Media, podcasting, and education
  • Security, compliance, and law enforcement

Working with Audio AI Tools (Demos)

  • Live transcription using Whisper or Azure Speech
  • Basic audio enhancement with AI noise reduction
  • Overview of tools for voice cloning and generation

Choosing the Right Platform

  • Cloud APIs vs open-source libraries
  • Evaluating costs, accuracy, and scalability
  • Vendor comparison: Google, Microsoft, OpenAI, ElevenLabs

Ethical and Legal Considerations

  • Audio data privacy and consent
  • Use of generated voices and deepfakes
  • Guidelines for safe and compliant deployment

Exploration Lab: Applying Audio AI Concepts

  • Hands-on exploration of transcription, noise reduction, and classification tools
  • Small-group exercises: choosing a business case and mapping AI tool fit
  • Team-based discussion: challenges, assumptions, and success criteria

Summary and Next Steps

Voraussetzungen

  • An understanding of general AI or data-related terminology
  • Familiarity with digital workflows or enterprise systems

Audience

  • Business leaders exploring AI-driven voice and audio solutions
  • Product managers and innovation teams evaluating use cases
  • Government or corporate staff involved in digital transformation
 14 Stunden

Teilnehmerzahl


Price per participant (excl. VAT)

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