Librosa: Audio and Music Processing in Python with Brian Mcfee

EPISODE 263
LISTEN
Banner Image: Brian Mcfee - Podcast Interview

Join our list for notifications and early access to events

About this Episode

Today we continue our PyDataSci series joined by Brian McFee, assistant professor of music technology and data science at NYU, and creator of Librosa, a python package for music and audio analysis. In our conversation, Brian walks us through his experience building Librosa, detailing the core functions provided in the library, and his experience working in Jupyter Notebook. We explore typical Librosa workflow, looking at which, if any, of the internal components directly performed learning tasks, and discuss trying to stay ahead of the curve by being an early adopter of various frameworks and applications. While you're here, take a moment to complete our listener survey! We want to better understand your views on the importance of open source and the projects and players in this space. To access the survey visit here.
Connect with Brian
Read More

Thanks to our sponsor IBM Data and AI Evangelism

The IBM Institute for Business Value (IBV) delivers trusted business insights from our position at the intersection of technology and business, combining expertise from industry thinkers, leading academics, and subject matter experts with global research and performance data. The IBV thought leadership portfolio includes research deep dives, benchmarking and performance comparisons, and data visualizations that support business decision making across regions, industries and technologies.

IBM Data and AI Evangelism Logo

More from TWIML

Leave a Reply

Your email address will not be published. Required fields are marked *