8000 GitHub - zacharyneveu/MLSP_Project: Final miniproject for Machine Learning for Signal Processing at DTU, Fall 2019. Taught by Tommy Alstrom
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Final miniproject for Machine Learning for Signal Processing at DTU, Fall 2019. Taught by Tommy Alstrom

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zacharyneveu/MLSP_Project

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About

This project explores using KSVD to transcribe piano music in the time domain. See the paper in the paper directory for full details.

Usage

The MAESTRO dataset is available here to get the training data. The code is located in the jupyter notebook KSVD.ipynb. The code is written in Julia and is pretty straightforward. One hiccup is that the code uses librosa (from Python) via pyimport. In order to do this, the LLVM versions of python and Julia must match. Using Python 3.7.1 and Julia 1.4 dev this works fine.

About

Final miniproject for Machine Learning for Signal Processing at DTU, Fall 2019. Taught by Tommy Alstrom

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