prepare_data.sh

#!/bin/bash

# DOWNLOAD THE DATASET
# mkdir -p data
# pushd data
# if [ ! -d clean_trainset_wav_16k ]; then
#     # Clean utterances
#     if [ ! -f clean_trainset_wav.zip ]; then
#         echo 'DOWNLOADING CLEAN DATASET...'
#         wget http://datashare.is.ed.ac.uk/bitstream/handle/10283/1942/clean_trainset_wav.zip
#     fi
#     if [ ! -d clean_trainset_wav ]; then
#         echo 'INFLATING CLEAN TRAINSET ZIP...'
#         unzip -q clean_trainset_wav.zip -d clean_trainset_wav
#     fi
#     if [ ! -d clean_trainset_wav_16k ]; then
#         echo 'CONVERTING CLEAN WAVS TO 16K...'
#         mkdir -p clean_trainset_wav_16k
#         pushd clean_trainset_wav
#         ls *.wav | while read name; do
#             sox $name -r 16k ../clean_trainset_wav_16k/$name
#         done
#         popd
#     fi
# fi
# if [ ! -d noisy_trainset_wav_16k ]; then
#     # Noisy utterances
#     if [ ! -f noisy_trainset_wav.zip ]; then
#         echo 'DOWNLOADING NOISY DATASET...'
#         wget http://datashare.is.ed.ac.uk/bitstream/handle/10283/1942/noisy_trainset_wav.zip
#     fi
#     if [ ! -d noisy_trainset_wav ]; then
#         echo 'INFLATING NOISY TRAINSET ZIP...'
#         unzip -q noisy_trainset_wav.zip -d noisy_trainset_wav
#     fi
#     if [ ! -d noisy_trainset_wav_16k ]; then
#         echo 'CONVERTING NOISY WAVS TO 16K...'
#         mkdir -p noisy_trainset_wav_16k
#         pushd noisy_trainset_wav
#         ls *.wav | while read name; do
#             sox $name -r 16k ../noisy_trainset_wav_16k/$name
#         done
#         popd
#     fi
# fi
# popd


echo 'PREPARING TRAINING DATA...'
python make_tfrecords.py --force-gen