IT-Trainer Jobs und Stellenangebote: AI+ Audio (AP 7010 Self-Paced Training)

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IT-Trainer Jobs und Stellenangebote: AI+ Audio (AP 7010 Self-Paced Training), AI CERTs, Fachexperten, KI-Experte.

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Agenda

Module 1: Introduction to AI and Sound

  • 1.1 What is AI?
  • 1.2 AI in Daily Life: Audio Examples
  • 1.3 Basics of Sound Waves, Amplitude, Frequency
  • 1.4 Digital Audio Fundamentals

Module 2: Harnessing AI Across Audio Domains

  • 2.1 AI for Audio Enhancement and Restoration
  • 2.2 AI for Audio Accessibility and Personalization
  • 2.3 AI in Speech and Voice Technologies
  • 2.4 Popular Audio Libraries: Librosa, PyAudio
  • 2.5 Use Case: AI-Driven Real-Time Captioning and Translation for Live Events
  • 2.6 Case Study: Personalized Hearing Aid Adaptation Using AI and Smart Earbuds
  • 2.7 Hands-on: Voice Emotion Detection Using Deepgram’s Voice AI Platform

Module 3: Machine Learning & AI for Audio

  • 3.1 Machine Learning Models for Audio Applications
  • 3.2 Deep Learning & Advanced AI Techniques for Audio
  • 3.3 Audio-Specific Architectures: CNNs, RNNs, Transformers
  • 3.4 Transfer Learning in Audio AI
  • 3.5 Use Case: Speech-to-Text Transcription for Medical Records
  • 3.6 Case Study: AI-Powered Music Generation with Deep Learning
  • 3.7 Hands-on: Build a Speech-to-Text Model Using TensorFlow

Module 4: Speech Recognition & Text-to-Speech

  • 4.1 Fundamentals of Speech Recognition & Phonetics
  • 4.2 API-based ASR Solutions
  • 4.3 Building Custom ASR Models with Transformers
  • 4.4 Introduction to TTS & Voice Cloning
  • 4.5 Use Case: Automating Meeting Transcriptions with Google Speech-to-Text API
  • 4.6 Case Study: Custom Transformer-based ASR for Multilingual Support
  • 4.7 Hands-on: Transcribe Audio & Generate Speech

Module 5: Audio Enhancement & Noise Reduction

  • 5.1 Common Audio Issues
  • 5.2 AI-Based Noise Filtering & Enhancement
  • 5.3 Use Cases: Enhancing Audio Quality for Remote Work Calls
  • 5.4 Case Study: Krisp’s AI-Powered Noise Cancellation in Podcast Production
  • 5.5 Hands-on: Use Krisp or Adobe Enhance Speech to Clean Audio

Module 6: Emotion & Sentiment Detection from Audio

  • 6.1 Introduction to Emotion Detection
  • 6.2 AI Models for Emotion Detection (RNNs, LSTMs, CNNs)
  • 6.3 Challenges: Bias, Multilingual Contexts, Reliability
  • 6.4 Use Case: Customer Service Emotion Detection from Speech
  • 6.5 Case Study: IBM Watson Tone Analyzer in Real-Time Emotion Recognition
  • 6.6 Hands-on: Analyze Speech Samples for Emotion

Module 7: Ethical and Privacy Considerations

  • 7.1 Deepfakes and Voice Cloning Risks
  • 7.2 Privacy and Data Security
  • 7.3 Bias and Fairness in Audio AI
  • 7.4 Use Case: Ethical Voice Data Collection and Consent
  • 7.5 Case Study: GDPR Compliance in Audio AI
  • 7.6 Hands-on: Detect Fake Audio & Create Ethical AI Checklist

Module 8: Advanced Applications & Future Trends

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