Librosa: Audio and Music Processing in Python with Brian Mcfee

Banner Image: Brian Mcfee - Podcast Interview
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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.
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