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://replicate.ai/

https://www.linkedin.com/in/janssonandreas/

Every Thursday I send out the most useful things I’ve learned, curated specifically for the busy machine learning engineer. Sign up here: http://bitly.com/mle-newsletter

Follow Charlie on Twitter: https://twitter.com/CharlieYouAI

Subscribe to ML Engineered: https://mlengineered.com/listen

Comments? Questions? Submit them here: http://bit.ly/mle-survey

Take the Giving What We Can Pledge: https://www.givingwhatwecan.org/

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

arXiv Vanity

Replicate

Replicate's Discord