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PaddleSpeech/examples/librispeech/run_data.sh

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1.0 KiB

#! /usr/bin/env bash
cd ../.. > /dev/null
# download data, generate manifests
PYTHONPATH=.:$PYPYTHONPATH python data/librispeech/librispeech.py \
--manifest_prefix='data/librispeech/manifest' \
--target_dir='~/.cache/paddle/dataset/speech/Libri' \
--full_download='True'
if [ $? -ne 0 ]; then
echo "Prepare LibriSpeech failed. Terminated."
exit 1
fi
cat data/librispeech/manifest.train-* | shuf > data/librispeech/manifest.train
# build vocabulary
python tools/build_vocab.py \
--count_threshold=0 \
--vocab_path='data/librispeech/vocab.txt' \
--manifest_paths='data/librispeech/manifest.train'
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/librispeech/manifest.train' \
--num_samples=2000 \
--specgram_type='linear' \
--output_path='data/librispeech/mean_std.npz'
if [ $? -ne 0 ]; then
echo "Compute mean and stddev failed. Terminated."
exit 1
fi
echo "LibriSpeech Data preparation done."
exit 0