AI+ Audio - eLearning (exam included)

Course timeline

1. Introduction to AI and Sound

   Lesson 1

   • Understanding AI
   • AI in Everyday Life: Audio Examples
   • Fundamentals of Sound Waves, Amplitude, and Frequency
   • Basics of Digital Audio

2. Applying AI Across Audio Domains

   Lesson 2

   • AI for Audio Enhancement and Restoration
   • AI for Accessibility and Personalized Audio Experiences
   • AI in Speech and Voice Technologies
   • Key Audio Libraries: Librosa, PyAudio
   • Use Case: Real-Time AI Captioning and Translation for Live Events
   • Case Study: Personalized Hearing Aid Adaptation with AI and Smart Earbuds
   • Hands-on: Detecting Voice Emotions with Deepgram’s Voice AI

3. Machine Learning & AI for Audio

   Lesson 3

   • ML Models for Audio Applications
   • Deep Learning & Advanced AI Techniques
   • Audio-Specific Architectures: CNNs, RNNs, Transformers
   • Transfer Learning in Audio AI
   • Use Case: Speech-to-Text for Medical Records
   • Case Study: AI-Driven Music Generation with Deep Learning
   • Hands-on: Build a Speech-to-Text Model Using TensorFlow

4. Speech Recognition & Text-to-Speech

   Lesson 4

   • Basics of Speech Recognition & Phonetics
   • API-Based Automatic Speech Recognition (ASR) Solutions
   • Building Custom ASR Models with Transformers
   • Introduction to TTS and Voice Cloning
   • Use Case: Automating Meeting Transcriptions with Google Speech-to-Text
   • Case Study: Multilingual Customer Support with Custom Transformer ASR Models
   • Hands-on: Transcribe Audio and Generate Speech from Text

5. Audio Enhancement & Noise Reduction

   Lesson 5

   • Common Audio Challenges
   • AI-Powered Noise Filtering and Enhancement
   • Use Case: Improving Remote Work Call Audio Quality
   • Case Study: Krisp’s AI Noise Cancellation in Podcast Production
   • Hands-on: Clean Noisy Audio Using Krisp or Adobe Enhance Speech

6. Emotion & Sentiment Detection in Audio

   Lesson 6

   • Introduction to Emotion Detection
   • AI Models for Emotion Detection: RNNs, LSTMs, CNNs
   • Challenges: Bias, Multilingual Contexts, and Reliability
   • Use Case: Enhancing Customer Service via Emotion Detection
   • Case Study: IBM Watson Tone Analyzer for Real-Time Emotion Recognition
   • Hands-on: Analyze Speech Samples with IBM Watson or Similar APIs

7. Ethics and Privacy in Audio AI

   Lesson 7

   • Risks of Deepfakes and Voice Cloning
   • Privacy and Data Security Considerations
   • Bias and Fairness in Audio AI
   • Use Case: Ethical Voice Data Collection and Consent Management
   • Case Study: Ensuring GDPR Compliance in Audio AI
   • Hands-on: Detect Fake Audio and Create an Ethical AI Checklist

8. Advanced Applications & Future Trends

   Lesson 8

   • Sound Event Detection and Classification
   • Audio Search and Indexing
   • Innovations: Multimodal AI, Edge Computing, 3D Audio
   • Emerging Careers in Audio AI