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100% fundable

AI+ Audio Practitioner™

Sound, voice and music are being reinvented through AI – smart tools are taking on tasks that once required a professional studio. The AI+ Audio Practitioner™ training makes this shift tangible and shows you how to put it into practice.

Key topics

  • Applying voice AI and language models to production tasks.
  • Generating and post-processing audio with automated tools.
  • Integrating intelligent tools into existing sound workflows.
  • Understanding developments in synthetic voices, audio agents and adaptive sound design.

Prerequisite
Anyone working in a digital environment and curious about AI tools can dive right in – no deep technical background required.

Target group
This training is for creatives and professionals who want to take their work with voice, audio or sound to the next level using AI tools – from content creation to media production.

After one day with AI+ Audio Practitioner™, you have the knowledge to start using AI-powered sound in your everyday work.
 

course content
  • How AI works – and what that means for audio
  • AI applications in everyday life: listening examples and practice
  • Sound waves, amplitude and frequency – explained simply
  • Getting started with digital audio technology
  • Audio enhancement and restoration with AI
  • Accessibility and personalization in audio
  • AI in speech and voice technologies
  • Key libraries: Librosa, PyAudio
  • Use case: AI-powered real-time captioning at live events
  • Case study: Hearing aid fitting with AI and smart earbuds
  • Exercise: Emotion recognition in voices using Deepgram’s speech AI
  • Learning models for audio applications at a glance
  • Deep learning and advanced techniques for sound
  • Architectures: CNNs, RNNs, transformers in audio contexts
  • Transfer learning and how it simplifies audio AI
  • Use case: Speech-to-text for medical documentation
  • Case study: AI-assisted music generation with deep learning
  • Exercise: Build a speech-to-text model with TensorFlow
  • Speech recognition and phonetics – how machines listen
  • API solutions for automatic speech recognition
  • Building custom ASR models with transformer architectures
  • Text-to-speech and voice cloning: introduction and basics
  • Use case: Automating meeting minutes with Google Speech-to-Text
  • Case study: Multilingual customer support with transformer-based ASR
  • Exercise: Transcribe audio and generate speech from text
  • Common audio problems and their causes
  • Noise filtering and sound improvement with AI
  • Use case: Improving remote call quality with AI noise reduction
  • Case study: Krisp’s AI noise reduction in podcast production
  • Exercise: Clean up noisy audio with Krisp or Adobe Enhance Speech
  • What emotion recognition means in an audio context
  • Models for emotion recognition: RNNs, LSTMs, CNNs
  • Limitations and challenges: bias, multilingual contexts, reliability
  • Use case: Improving customer service through sentiment analysis
  • Case study: IBM Watson Tone Analyzer in real-time use
  • Exercise: Analyse speech samples with Watson Tone Analyzer
  • Deepfakes and voice cloning: risks and potential for misuse
  • Data protection and security with audio data
  • Fairness and bias in audio AI systems
  • Use case: Ethical voice data collection and consent management
  • Case study: GDPR-compliant audio AI – handling bias and privacy
  • Exercise: Detect fake audio clips and create an AI ethics checklist
  • Sound classification and acoustic event detection in practice
  • Audio search and intelligent indexing
  • Emerging technologies: multimodal AI, edge computing, 3D audio
  • Career paths in audio AI – what the future holds

Up to 100% funding for your continuing education

Attractive funding opportunities are available for numerous continuing education programs – depending on the funding program, up to 100% funding is possible.
The requirement is that you live or work in Germany. Our funding opportunities are not available outside of Germany.

Funding opportunities are available for career starters, job seekers, career changers, startups, experienced professionals, those seeking career advancement, and specialists.

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