Eric Battenberg

I am currently a grad student studying Electrical Engineering at UC Berkeley. I did my undergraduate work at UC Santa Barbara. I am advised by David Wessel at the Center for New Music and Audio Technologies (CNMAT) and co-advised by Nelson Morgan at the International Computer Science Institute (ICSI). My research interests include audio signal processing and compression, machine learning, music information retrieval, image processing, computer vision, transform coding, and overcomplete signal representation.

My CV is available upon request.

Research

Optimizing Hearing Aids for Music Listening: A subspace technique for optimal hearing aid fitting.; David Wessel, Kelly Fitz, Eric Battenberg, Andrew Schmeder, and Brent Edwards, Sept. 2007; 19th International Congress on Acoustics, Madrid, Spain, 02/09/2007
Optimizing the Hearing Aid Musical Experience: Parameters of a multi-band compressor are tuned using a user-calibrated subjective parameter space.; Eric Battenberg, May 2007
A New Method for Calculating Music Similarity: Hidden Markov models and spectral fluctuation patterns are used to calculate a distance measure between songs.; Eric Battenberg and Vijay Ullal, Dec. 2006
A System for Automatic Cell Segmentation of Bacterial Microscopy Images: Various image processing and computer vision techniques are used to segment individual bacteria cells in a microscope image.; Eric Battenberg and IlkaBischofs-Pfeifer, Aug. 2006
Sparse Signal Representation: Image Compression Using Sparse Bayesian Learning.; Eric Battenberg, Vijay Ullal, and Galen Reeves, May 2006.

Eric Battenberg

Research

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