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PaddleSpeech/examples/tiny/run_data.sh

52 lines
1.1 KiB

#! /usr/bin/env bash
cd ../.. > /dev/null
# prepare folder
if [ ! -e data/tiny ]; then
mkdir data/tiny
fi
# download data, generate manifests
PYTHONPATH=.:$PYTHONPATH python data/librispeech/librispeech.py \
--manifest_prefix='data/tiny/manifest' \
--target_dir='~/.cache/paddle/dataset/speech/libri' \
--full_download='False'
if [ $? -ne 0 ]; then
echo "Prepare LibriSpeech failed. Terminated."
exit 1
fi
head -n 64 data/tiny/manifest.dev-clean > data/tiny/manifest.tiny
# build vocabulary
python tools/build_vocab.py \
--count_threshold=0 \
--vocab_path='data/tiny/vocab.txt' \
--manifest_paths='data/tiny/manifest.dev-clean'
if [ $? -ne 0 ]; then
echo "Build vocabulary failed. Terminated."
exit 1
fi
# compute mean and stddev for normalizer
python tools/compute_mean_std.py \
--manifest_path='data/tiny/manifest.tiny' \
--num_samples=64 \
--specgram_type='linear' \
--output_path='data/tiny/mean_std.npz'
if [ $? -ne 0 ]; then
echo "Compute mean and stddev failed. Terminated."
exit 1
fi
echo "Tiny data preparation done."
exit 0