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Course Outline
Understanding Audio AI Fundamentals
- Defining the scope and core capabilities of Audio AI.
- Distinguishing between voice, sound, and speech AI.
- Reviewing popular tools and platforms in the market.
Categories of Audio AI Applications
- Speech recognition and automated transcription processes.
- Voice assistants and conversational agents.
- Audio classification and event detection techniques.
Industry-Specific Use Cases
- Enhancing customer service and contact center operations.
- Applications in media, podcasting, and education.
- Roles in security, compliance, and law enforcement.
Practical Application of Audio AI Tools (Demonstrations)
- Performing live transcription using Whisper or Azure Speech.
- Implementing basic audio enhancement through AI noise reduction.
- Examining tools available for voice cloning and generation.
Selecting the Appropriate Platform
- Comparing Cloud APIs against open-source libraries.
- Analyzing costs, accuracy metrics, and scalability.
- Vendor comparison: Google, Microsoft, OpenAI, and ElevenLabs.
Ethical and Legal Perspectives
- Addressing audio data privacy and consent protocols.
- Discussing the implications of generated voices and deepfakes.
- Establishing guidelines for safe and compliant deployment.
Exploration Lab: Implementing Audio AI Concepts
- Hands-on practice with transcription, noise reduction, and classification tools.
- Collaborative exercises: selecting a business scenario and matching it with appropriate AI tools.
- Team discussions focusing on challenges, underlying assumptions, and success metrics.
Recap 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 engaged in digital transformation initiatives.
14 Hours
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.
