Automatic Drum Understanding

Dec 1, 2012

I happen to be a drummer, so when I saw the chance to work on developing algorithms that would allow computers to understand rhythm and drumming the way humans do (and get a PhD while doing so), I jumped at the opportunity. Below are the publications that fit this general theme of automatic drum understanding, culminating with my thesis.

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Eric Battenberg
Software Engineer

Publications

Eric Battenberg . Techniques for Machine Understanding of Live Drum Performances. PhD Thesis, UC Berkeley, 2012.

PDF Project Ref

Eric Battenberg, David Wessel . Analyzing Drum Patterns Using Conditional Deep Belief Networks. ISMIR, 2012.

PDF Code Project

Eric Battenberg, Victor Huang, David Wessel . Toward Live Drum Separation Using Probabilistic Spectral Clustering Based on the Itakura-Saito Divergence. AES 45, 2012.

PDF Project Slides Ref

Eric Battenberg, David Wessel . Accelerating Non-Negative Matrix Factorization for Audio Source Separation on Multi-Core and Many-Core Architectures. ISMIR, 2009.

PDF Code Project Project Poster

Eric Battenberg . Improvements to Percussive Component Extraction Using Non-Negative Matrix Factorization and Support Vector Machines. Masters Thesis, 2008.

PDF Project