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PaddleSpeech/examples/ami/sd0/local/data.sh

50 lines
1.5 KiB

#!/bin/bash
stage=1
TARGET_DIR=${MAIN_ROOT}/dataset/ami
data_folder=${TARGET_DIR}/amicorpus #e.g., /path/to/amicorpus/
manual_annot_folder=${TARGET_DIR}/ami_public_manual_1.6.2 #e.g., /path/to/ami_public_manual_1.6.2/
save_folder=${MAIN_ROOT}/examples/ami/sd0/data
ref_rttm_dir=${save_folder}/ref_rttms
meta_data_dir=${save_folder}/metadata
set=L
. ${MAIN_ROOT}/utils/parse_options.sh || exit 1;
set -u
set -o pipefail
mkdir -p ${save_folder}
if [ ${stage} -le 0 ]; then
# Download AMI corpus, You need around 10GB of free space to get whole data
# The signals are too large to package in this way,
# so you need to use the chooser to indicate which ones you wish to download
echo "Please follow https://groups.inf.ed.ac.uk/ami/download/ to download the data."
echo "Annotations: AMI manual annotations v1.6.2 "
echo "Signals: "
echo "1) Select one or more AMI meetings: the IDs please follow ./ami_split.py"
echo "2) Select media streams: Just select Headset mix"
exit 0;
fi
if [ ${stage} -le 1 ]; then
echo "AMI Data preparation"
python local/ami_prepare.py --data_folder ${data_folder} \
--manual_annot_folder ${manual_annot_folder} \
--save_folder ${save_folder} --ref_rttm_dir ${ref_rttm_dir} \
--meta_data_dir ${meta_data_dir}
if [ $? -ne 0 ]; then
echo "Prepare AMI failed. Please check log message."
exit 1
fi
fi
echo "AMI data preparation done."
exit 0