• Course overview
  • Course details
  • Prerequisites

Course overview

About this course

This course is perfect for newcomers eager to explore AI-powered audio, covering essential concepts with ease. It includes speech processing, sound enhancement, voice synthesis, and real-world audio AI applications. Understand how AI is reshaping music, media, entertainment, and communication sectors

Audience profile
  • Aspiring Audio Engineers
  • Music Producers and Composers
  • Machine Learning Enthusiasts
  • Game and Media Developers
  • Tech Innovators and Researchers

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Course details

Module 1: Introduction to AI and Sound

Module 2: Harnessing AI Across Audio Domains

Module 3: Machine Learning & AI for Audio

Module 4: Speech Recognition & Text-to-Speech

Module 5: Audio Enhancement & Noise Reduction

Module 6: Emotion & Sentiment Detection from Audio

Module 7: Ethical and Privacy Considerations

Module 8: Advanced Applications & Future Trends

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Prerequisites

  • Familiarity with Python or similar languages.
  • Know fundamental audio manipulation techniques.
  • Basic knowledge of algorithms and model training.
  • Comfort with linear algebra and probability concepts.
  • Hands-on use of DAWs or similar tools.

Our Technology Partners

Spectrum Networks is the Authorised Learning Partner for some of the leaders in IT technology for Digital Transformation