Instructional material for the [Music Information Retrieval Workshop](https://ccrma.stanford.edu/workshops/music-information-retrieval-2017) at CCRMA, Stanford University, 2014-17.
Instructional material for the [Music Information Retrieval Workshop](https://ccrma.stanford.edu/workshops/mir-2018) at CCRMA, Stanford University, 2014-18.
[Registration for the Stanford CCRMA MIR 2018 Workshop is open!](https://ccrma.stanford.edu/workshops/mir-2018) This year's esteemed instructors include:
-[Meinard Müller](https://www.audiolabs-erlangen.de/fau/professor/mueller)(Int'l Audio Laboratories Erlangen; author, [*Fundamentals of Music Processing*](https://www.audiolabs-erlangen.de/fau/professor/mueller/bookFMP))
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### Install Python and relevant libraries
1. If you’re totally new, the simplest solution is to download and install [Anaconda for Python 2 (2.7)](https://www.continuum.io/downloads), not Python 3.
1. If you’re totally new, the simplest solution is to download and install [Anaconda for Python 3.x](https://www.anaconda.com/download).
2. Install [librosa](https://librosa.github.io/librosa/install.html) and [ffmpeg](https://librosa.github.io/librosa/install.html#ffmpeg).
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To upgrade, use either `pip install --upgrade` or `conda upgrade` depending upon which package installer you used for the respective package.
[2018 March 12] These notebooks reflect the following package versions:
- numpy 1.14.2
- scipy 1.0.0
- matplotlib 2.2.0
- ipython 6.2.1
- jupyter 1.0.0
- librosa 0.6.0
- scikit-learn 0.19.1
- pandas 0.22.0
### Start the Jupyter Notebook
A majority of our instruction and laboratory work will occur inside the [Jupyter notebook](http://jupyter.org/). You can think of the Jupyter notebook like the Mathematica or Matlab desktop, except it uses Python and it runs inside your web browser.
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- Immediately rename the notebook by clicking on "Untitled" in the top left, and choosing a different name.
- Inside a cell, run `1+2`. Press `<Shift-Enter>` on a cell to run that cell. Hopefully you get the output `3`.
- Inside a cell, run `import scipy, sklearn, pandas, seaborn, librosa`. Press `<Shift-Enter>` to run the cell. If that runs without error, congratulations, you have the necessary libraries installed properly.
- Inside a cell, run `import scipy, sklearn, pandas, librosa`. Press `<Shift-Enter>` to run the cell. If that runs without error, congratulations, you have the necessary libraries installed properly.
- Try executing the content from <http://musicinformationretrieval.com> inside this blank notebook.
