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Andreas Jansson is the co-founder of Replicate, a version control tool for machine learning. He holds a PhD from City University of London in Music Informatics and was previously a machine learning engineer at Spotify, researching and applying algorithms for music information retrieval.
Learn more about Andreas:
https://www.linkedin.com/in/janssonandreas/
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Timestamps:
02:30 Andreas Jansson
07:30 Overview of music information retrieval (MIR)
13:30 Why use spectrograms and not raw audio?
19:55 The potential for transformers in MIR
22:45 Most exciting applications for ML in MIR
29:20 Challenges in putting ML into production
36:45 What Andreas imagines for the future of ML tools
41:45 Why he's building a tool for ML version control (http://replicate.ai/)
52:55 What Replicate enables via integration or as a platform
01:02:55 Learnings from doing customer discovery for Replicate
01:14:10 "Github for ML models and data"
01:22:30 Rapid fire questions
Links:
WaveNet: a generative model for raw audio
Singing Voice Separation with Deep U-Net CNNs
Joint Singing Voice Separation and F0 Estimation with Deep U-Net Architectures