Mercurial > hg > chime-home-dataset-annotation-and-baseline-evaluation-code
view gmm_baseline_experiments/external_libs/librosa/librosa-0.3.1/docs/install.rst @ 5:b523456082ca tip
Update path to dataset and reflect modified chunk naming convention.
author | peterf |
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date | Mon, 01 Feb 2016 21:35:27 +0000 |
parents | cb535b80218a |
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Installation instructions ========================= The simplest way to install *librosa* is through the Python Package Index (PyPI). This will ensure that all required dependencies are fulfilled. This can be achieved by executing the following command:: pip install librosa or:: sudo pip install librosa to install system-wide. If you've downloaded the archive manually from the `releases <https://github.com/bmcfee/librosa/releases/>`_ page, you can install using the `setuptools` script:: tar xzf librosa-0.3.tar.gz cd librosa-0.3/ python setup.py install Additional notes ---------------- By default, *librosa* will use `scipy.signal` to resample audio signals, which can be slow in practice. It is highly recommended to install `librsamplerate <http://www.mega-nerd.com/SRC/>`_ and the corresponding python module, `scikits.samplerate <https://pypi.python.org/pypi/scikits.samplerate>`_. Once these are installed, *librosa* will use the faster `scikits.samplerate` for all resampling operations.