-
If you don't have it already, download and install either the Anaconda or the Miniconda Python 3 distribution.
-
Create a conda environment with Python 3.5
conda create -n lostanlen_spl2017 python=3.5
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Activate environment lostanlen_spl2017
source activate lostanlen_spl2017
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Install Tensorflow (Apache License 2.0) for deep learning
conda install tensorflow
-
Install Keras (François Chollet, MIT License) for deep learning
conda install keras
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Install pandas (BSD 3-Clause license) for parsing annotations
conda install pandas
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Install pysoundfile for audio I/O
conda install -c carlthome pysoundfile
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Install muda (Brian McFee, ISC license) for data augmentation
pip install muda
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Install Vesper (Harold Mills, MIT license) for Old Bird flight call detector
conda install -c haroldmills vesper
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Install mir_eval (Colin Raffel, MIT license) for evaluation
conda install -c carlthome mir_eval
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Install pescador (ISC License) for stochastic multi-stream sampling
conda install -c conda-forge pescador
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Install scikit-learn (BSD License) for support vector machines
conda install -c anaconda scikit-learn
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Install skm (Justin Salamon) for spherical k-means
pip install git+git://github.com/justinsalamon/skm
forked from BirdVox/bv_context_adaptation
BirdVox-70k: a dataset and benchmark for avian flight call detection
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rhine3/BirdVox-70k_icassp2018
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BirdVox-70k: a dataset and benchmark for avian flight call detection
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