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Duration 14 hours (2 days)
Course Outline
Introduction to Audio AI
- Defining Audio AI and 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 automatic transcription processes.
- Voice assistants and conversational agent systems.
- Audio classification and event detection mechanisms.
Industry-Wide Use Cases
- Enhancing customer service and contact center operations.
- Applications in media, podcasting, and education sectors.
- Utilisations in security, compliance, and law enforcement.
Working with Audio AI Tools (Demos)
- Live transcription demonstrations using Whisper or Azure Speech.
- Basic audio enhancement techniques with AI-driven noise reduction.
- An overview of tools for voice cloning and generation.
Selecting the Right Platform
- Comparing Cloud APIs versus open-source libraries.
- Evaluating factors such as costs, accuracy, and scalability.
- Vendor comparison: Google, Microsoft, OpenAI, and ElevenLabs.
Ethical and Legal Considerations
- Addressing audio data privacy and consent requirements.
- Managing the use of generated voices and deepfakes.
- Establishing 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 involving the selection of a business case and mapping the appropriate AI tool fit.
- Team-based discussions on challenges, assumptions, and success criteria.
Summary and Next Steps
Requirements
- A foundational understanding of general AI or data-related terminology.
- Familiarity with digital workflows or enterprise systems.
Target Audience
- Business leaders seeking to explore AI-driven voice and audio solutions.
- Product managers and innovation teams evaluating potential use cases.
- Government or corporate staff engaged in digital transformation initiatives.
Testimonials (1)
I got to learn more about Microsoft Copilot, something that I thought was the same as chatGPT but I got to discover more exciting options that I will forever use to make my life easy.
