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PaddleSpeech/examples/aishell/asr3/local/data.sh

102 lines
2.6 KiB

#!/bin/bash
stage=-1
stop_stage=-1
dict_dir=data/lang_char
. ${MAIN_ROOT}/utils/parse_options.sh || exit -1;
mkdir -p data
mkdir -p ${dict_dir}
TARGET_DIR=${MAIN_ROOT}/dataset
mkdir -p ${TARGET_DIR}
if [ ${stage} -le -1 ] && [ ${stop_stage} -ge -1 ]; then
# download data, generate manifests
python3 ${TARGET_DIR}/aishell/aishell.py \
--manifest_prefix="data/manifest" \
--target_dir="${TARGET_DIR}/aishell"
#generate csv file for speechbrain dataloader
python3 local/aishell_prepare.py \
--data_folder="${TARGET_DIR}/aishell" \
--save_folder="data/"
if [ $? -ne 0 ]; then
echo "Prepare Aishell failed. Terminated."
exit 1
fi
for dataset in train dev test; do
mv data/manifest.${dataset} data/manifest.${dataset}.raw
done
fi
if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then
# compute mean and stddev for normalizer
num_workers=$(nproc)
python3 ${MAIN_ROOT}/utils/compute_mean_std.py \
--manifest_path="data/manifest.train.raw" \
--spectrum_type="fbank" \
--feat_dim=80 \
--delta_delta=false \
--stride_ms=10 \
--window_ms=25 \
--sample_rate=16000 \
--use_dB_normalization=False \
--num_samples=-1 \
--num_workers=${num_workers} \
--output_path="data/mean_std.json"
if [ $? -ne 0 ]; then
echo "Compute mean and stddev failed. Terminated."
exit 1
fi
fi
if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
# download data, generate manifests
# build vocabulary
python3 ${MAIN_ROOT}/utils/build_vocab.py \
--unit_type="char" \
--count_threshold=0 \
--vocab_path="${dict_dir}/vocab.txt" \
--manifest_paths "data/manifest.train.raw"
if [ $? -ne 0 ]; then
echo "Build vocabulary failed. Terminated."
exit 1
fi
fi
if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then
# format manifest with tokenids, vocab size
for dataset in train dev test; do
{
python3 ${MAIN_ROOT}/utils/format_data.py \
--cmvn_path "data/mean_std.json" \
--unit_type "char" \
--vocab_path="${dict_dir}/vocab.txt" \
--manifest_path="data/manifest.${dataset}.raw" \
--output_path="data/manifest.${dataset}"
if [ $? -ne 0 ]; then
echo "Formt mnaifest failed. Terminated."
exit 1
fi
} &
done
wait
fi
echo "Aishell data preparation done."
if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ]; then
mkdir -p exp/wav2vec2
echo "Pretrained wav2vec2 model download"
wget -P exp/wav2vec2 https://paddlespeech.bj.bcebos.com/wav2vec/chinese-wav2vec2-large.pdparams
fi
exit 0