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46 lines
982 B
46 lines
982 B
#! /usr/bin/env bash
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mkdir -p data
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# download data, generate manifests
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PYTHONPATH=.:$PYTHONPATH python3 local/librispeech.py \
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--manifest_prefix="data/manifest" \
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--target_dir="${MAIN_ROOT}/dataset/librispeech" \
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--full_download="True"
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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/manifest.train-* | shuf > data/manifest.train
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# build vocabulary
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python3 ${MAIN_ROOT}/tools/build_vocab.py \
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--count_threshold=0 \
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--vocab_path="data/vocab.txt" \
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--manifest_paths="data/manifest.train"
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if [ $? -ne 0 ]; then
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echo "Build vocabulary failed. Terminated."
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exit 1
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fi
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# compute mean and stddev for normalizer
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python3 ${MAIN_ROOT}/tools/compute_mean_std.py \
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--manifest_path="data/manifest.train" \
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--num_samples=2000 \
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--specgram_type="linear" \
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--output_path="data/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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exit 0
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