This is the presentation for the first webinar in a free series on AI for the music business. Here's what it was about: Every industry across the board, from finance to health to cars, is facing disruption from Artificial Intelligence (AI) and machine learning. Even the music business is starting to integrate AI technology that will radically transform this industry forever. As a music business leader or entrepreneur, it’s important that you have a clear grasp of AI’s potential uses and limitations in the music business. Not only will this give you an edge in navigating the incoming revolution, but also help improve the products and services you offer to your customers.
2. I am Valerio Velardo, PhD
Cofounder & CEO @ Melodrive
AI + Music Researcher
Hello!
3. What you’ll learn...
◍ Distinguish between AI, machine
learning and deep learning
◍ Basic grasp of what’s possible in AI
music
◍ AI applications in the music industry
15. Music Information Retrieval
◍ Extract musical features from raw audio
and symbolic scores
◍ Use ML + AI techniques
◍ MIR research around for a few decades.
Recently entered production
16. MIR tasks
◍ Automatic key, tempo, beat, chord
progression... identification
◍ Track separation and instrument recognition
◍ Music transcription
◍ Genre/mood categorization
◍ Automatic music analysis
◍ Automatic tagging
◍ Music recommendation
◍ ...
17. Generative music
◍ 1st piece generated by a computer in
1950s
◍ Uses AI + ML techniques to generate
music
◍ Improvisation, fully-generative
systems, AI-assisted composition
27. Problems with production music
75%
Think that finding the right music is very time-consuming
67%
Think that it takes a lot effort to put together a soundtrack
that fits a video perfectly
28. Rethinking music supervision
◍ Discover music through sonic similarity
◍ Implement solid recommender/search systems
tailored to each user profile
◍ Provide music that automatically matches the
emotional content of a video
29. Streamlining music tagging
◍ Algorithms that automatically extract
features from songs
◍ Extract metadata from unstructured
text-based descriptions
30. The perks of AI music
◍ Automate several analytical tasks
◍ Augment the music experience
◍ Provide highly-tailored content
31. Setting up the right expectations
◍ AI music isn’t a panacea
◍ AI can streamline processes but… human QA is
still necessary