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Duration 14 hours (2 days)
Course Outline
Introduction to Audio AI
- Defining Audio AI and identifying its core capabilities.
- Differentiating between voice, sound, and speech AI.
- Reviewing examples of widely used tools and platforms.
Categories of Audio AI Applications
- Speech recognition and automated transcription processes.
- Voice assistants and conversational agent technologies.
- Audio classification and event detection mechanisms.
Industry-Wide Use Cases
- Customer service and contact center operations.
- Media production, podcasting, and educational sectors.
- Security protocols, compliance standards, and law enforcement.
Utilizing Audio AI Tools (Demonstrations)
- Performing live transcription using Whisper or Azure Speech.
- Applying basic audio enhancements through AI-driven noise reduction.
- Reviewing tools for voice cloning and audio generation.
Selecting the Appropriate Platform
- Comparing Cloud APIs with open-source libraries.
- Assessing costs, accuracy levels, and scalability potential.
- Vendor evaluation: Google, Microsoft, OpenAI, and ElevenLabs.
Ethical and Legal Frameworks
- Managing audio data privacy and consent protocols.
- Addressing the use of synthetic voices and deepfakes.
- Following guidelines for safe and compliant deployment.
Exploration Lab: Implementing Audio AI Concepts
- Hands-on practice with transcription, noise reduction, and classification tools.
- Group exercises: selecting a business scenario and aligning AI tools accordingly.
- Team-based analysis: discussing challenges, assumptions, and success metrics.
Conclusion and Future Directions
Requirements
- A foundational understanding of general AI or data-related terminology.
- 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 participating 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.