ParallelWaveGAN/egs/template_single_spk/voc1/local/data_prep.sh

#!/bin/bash

# Copyright 2020 Tomoki Hayashi
#  MIT License (https://opensource.org/licenses/MIT)

# shellcheck disable=SC1091
. ./path.sh || exit 1;

fs=22050
num_dev=100
num_eval=100
train_set="train_nodev"
dev_set="dev"
eval_set="eval"
shuffle=false

# shellcheck disable=SC1091
. utils/parse_options.sh || exit 1;

db_root=$1
data_dir=$2

# check arguments
if [ $# != 2 ]; then
    echo "Usage: $0 [Options] <db_root> <data_dir>"
    echo ""
    echo "Options:"
    echo "    --num_dev: number of development uttreances (default=250)."
    echo "    --num_eval: number of evaluation uttreances (default=250)."
    echo "    --train_set: name of train set (default=train_nodev)."
    echo "    --dev_set: name of dev set (default=dev)."
    echo "    --eval_set: name of eval set (default=eval)."
    echo "    --shuffle: whether to perform shuffle in making dev / eval set (default=false)."
    exit 1
fi

set -euo pipefail

[ ! -e "${data_dir}/all" ] && mkdir -p "${data_dir}/all"

# set filenames
scp="${data_dir}/all/wav.scp"

# check file existence
[ -e "${scp}" ] && rm "${scp}"

# make all scp
find "${db_root}" -follow -name "*.wav" | sort | while read -r filename; do
    id=$(basename "${filename}" | sed -e "s/\.[^\.]*$//g")
    echo "${id} cat ${filename} | sox -t wav - -c 1 -b 16 -t wav - rate ${fs} |" >> "${scp}"
done

# split
num_all=$(wc -l < "${scp}")
num_deveval=$((num_dev + num_eval))
num_train=$((num_all - num_deveval))
if [ ${num_eval} -ne 0 ]; then
    utils/split_data.sh \
        --num_first "${num_train}" \
        --num_second "${num_deveval}" \
        --shuffle "${shuffle}" \
        "${data_dir}/all" \
        "${data_dir}/${train_set}" \
        "${data_dir}/deveval"
    utils/split_data.sh \
        --num_first "${num_dev}" \
        --num_second "${num_eval}" \
        --shuffle "${shuffle}" \
        "${data_dir}/deveval" \
        "${data_dir}/${dev_set}" \
        "${data_dir}/${eval_set}"
else
    utils/split_data.sh \
        --num_first "${num_train}" \
        --num_second "${num_deveval}" \
        --shuffle "${shuffle}" \
        "${data_dir}/all" \
        "${data_dir}/${train_set}" \
        "${data_dir}/${dev_set}"
    cp -r "${data_dir}/${dev_set}" "${data_dir}/${eval_set}"
fi

# remove tmp directories
rm -rf "${data_dir}/all"
rm -rf "${data_dir}/deveval"

echo "Successfully prepared data."