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91 lines
2.2 KiB
91 lines
2.2 KiB
#!/bin/bash
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stage=-1
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stop_stage=100
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# bpemode (unigram or bpe)
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nbpe=200
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bpemode=unigram
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bpeprefix="data/bpe_${bpemode}_${nbpe}"
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source ${MAIN_ROOT}/utils/parse_options.sh
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mkdir -p data
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TARGET_DIR=${MAIN_ROOT}/examples/dataset
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mkdir -p ${TARGET_DIR}
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if [ ${stage} -le -1 ] && [ ${stop_stage} -ge -1 ]; then
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# download data, generate manifests
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python3 ${TARGET_DIR}/librispeech/librispeech.py \
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--manifest_prefix="data/manifest" \
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--target_dir="${TARGET_DIR}/librispeech" \
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--full_download="False"
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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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head -n 64 data/manifest.dev-clean > data/manifest.tiny.raw
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fi
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if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then
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# build vocabulary
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python3 ${MAIN_ROOT}/utils/build_vocab.py \
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--unit_type "spm" \
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--spm_vocab_size=${nbpe} \
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--spm_mode ${bpemode} \
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--spm_model_prefix ${bpeprefix} \
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--vocab_path="data/vocab.txt" \
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--manifest_paths="data/manifest.tiny.raw"
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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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fi
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if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
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# compute mean and stddev for normalizer
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python3 ${MAIN_ROOT}/utils/compute_mean_std.py \
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--manifest_path="data/manifest.tiny.raw" \
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--num_samples=64 \
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--specgram_type="fbank" \
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--feat_dim=80 \
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--delta_delta=false \
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--sample_rate=16000 \
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--stride_ms=10.0 \
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--window_ms=25.0 \
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--use_dB_normalization=False \
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--num_workers=2 \
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--output_path="data/mean_std.json"
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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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fi
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if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then
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# format manifest with tokenids, vocab size
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python3 ${MAIN_ROOT}/utils/format_data.py \
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--feat_type "raw" \
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--cmvn_path "data/mean_std.json" \
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--unit_type "spm" \
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--spm_model_prefix ${bpeprefix} \
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--vocab_path="data/vocab.txt" \
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--manifest_path="data/manifest.tiny.raw" \
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--output_path="data/manifest.tiny"
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if [ $? -ne 0 ]; then
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echo "Formt mnaifest failed. Terminated."
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exit 1
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fi
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fi
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echo "LibriSpeech Data preparation done."
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exit 0
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