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40 lines
983 B
40 lines
983 B
#! /usr/bin/bash
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pushd ../..
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# download data, generate manifests
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python data/librispeech/librispeech.py \
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--manifest_prefix='data/librispeech/manifest' \
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--full_download='True' \
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--target_dir='~/.cache/paddle/dataset/speech/Libri'
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if [ $? -ne 0 ]; then
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echo "Prepare LibriSpeech failed. Terminated."
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exit 1
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fi
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cat data/librispeech/manifest.train* | shuf > data/librispeech/manifest.train
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# build vocabulary (for English data, we can just skip this)
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# python tools/build_vocab.py \
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# --count_threshold=0 \
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# --vocab_path='data/librispeech/eng_vocab.txt' \
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# --manifest_paths='data/librispeech/manifeset.train'
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# compute mean and stddev for normalizer
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python tools/compute_mean_std.py \
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--manifest_path='data/librispeech/manifest.train' \
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--num_samples=2000 \
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--specgram_type='linear' \
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--output_path='data/librispeech/mean_std.npz'
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if [ $? -ne 0 ]; then
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echo "Compute mean and stddev failed. Terminated."
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exit 1
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fi
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echo "LibriSpeech Data preparation done."
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