Steps for Ubuntu 18.04 based OS

[macramole]

I'm currently training a model and these are some steps I needed for making it work. Using Linux Mint based on Ubuntu 18.04.

I don't know if this is the correct place to post this but I hope it will be helpful

• Created a conda enviroment with Python version 3.6 (README.md doesn't specify python version)
• I had to change some versions on requirements.txt

numpy==1.14.5 #this is the same as you provide, some changes below were because I didn't want to change it
tensorflow-gpu==1.14.0 #you need this if you are using cuda 10.2
librosa==0.6 #this version of librosa will work just fine
pillow
h5py
sklearn
scikit-image
pyyaml
-e .
-e tfnntools
matplotlib
jupyter
moviepy==0.2.3.5 #newer version will not work
requests
numba
ltfatpy

• sudo apt install cmake llvm-8
• After doing these changes, run pip install like this: LLVM_CONFIG=/usr/bin/llvm-config-8 pip install -r requirements.txt
• For training on a new dataset, keep in mind files should be 16000hz , mono , 16bits . only the first second of each audio file will be used for training
• Bonus, this script will convert your files:

cd <where_your_wavs_are>
mkdir 16000_mono_16bit
for file in `ls *wav`; do filename=$(basename -- "$file"); sox $file -r 16000 -c 1 -b 16 16000_mono_16bit/$filename ; done

[macramole]

( these steps will probably work for 20.04 as well )