`stanford-mir` is now **`musicinformationretrieval.com`.**
Instructional material for the [Music Information Retrieval Workshop](https://ccrma.stanford.edu/workshops/mir-2018) at CCRMA, Stanford University, 2014-18.
[The Stanford CCRMA MIR 2018 Workshop has come to an end.](https://ccrma.stanford.edu/workshops/mir-2018) This year's esteemed instructors included:
-[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))
Instructional notebooks on music information retrieval.
How to Use This Repo
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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 3.x](https://www.anaconda.com/download).
1.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). If you installed Anaconda during step 1:
conda install -c conda-forge librosa ffmpeg
If these packages are already installed, don't forget to upgrade them before the workshop.
If these packages are already installed, don't forget to upgrade them.
To upgrade, use either `pip install --upgrade` or `conda upgrade` depending upon which package installer you used for the respective package.
To upgrade, `conda upgrade`.
[2018 June 24] These notebooks reflect the following package versions:
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