mirror of
https://github.com/k2-fsa/icefall.git
synced 2025-08-09 18:12:19 +00:00
f1abce72f8
* Use jsonl for cutsets in the librispeech recipe. * Use lazy cutset for all recipes. * More fixes to use lazy CutSet. * Remove force=True from logging to support Python < 3.8 * Minor fixes. * Fix style issues.
60 lines
1.6 KiB
Bash
Executable File
60 lines
1.6 KiB
Bash
Executable File
#!/usr/bin/env bash
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set -eou pipefail
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stage=-1
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stop_stage=100
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# We assume dl_dir (download dir) contains the following
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# directories and files. If not, they will be downloaded
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# by this script automatically.
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#
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# - $dl_dir/aidatatang_200zh
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# You can find "corpus" and "transcript" inside it.
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# You can download it at
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# https://openslr.org/62/
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dl_dir=$PWD/download
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. shared/parse_options.sh || exit 1
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# All files generated by this script are saved in "data".
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# You can safely remove "data" and rerun this script to regenerate it.
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mkdir -p data
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log() {
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# This function is from espnet
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local fname=${BASH_SOURCE[1]##*/}
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echo -e "$(date '+%Y-%m-%d %H:%M:%S') (${fname}:${BASH_LINENO[0]}:${FUNCNAME[1]}) $*"
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}
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log "dl_dir: $dl_dir"
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if [ $stage -le 0 ] && [ $stop_stage -ge 0 ]; then
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log "Stage 0: Download data"
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if [ ! -f $dl_dir/aidatatang_200zh/transcript/aidatatang_200_zh_transcript.txt ]; then
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lhotse download aidatatang-200zh $dl_dir
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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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log "Stage 1: Prepare manifest"
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# We assume that you have downloaded the aidatatang_200zh corpus
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# to $dl_dir/aidatatang_200zh
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if [ ! -f data/manifests/.aidatatang_200zh_manifests.done ]; then
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mkdir -p data/manifests
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lhotse prepare aidatatang-200zh $dl_dir data/manifests
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touch data/manifests/.aidatatang_200zh_manifests.done
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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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log "Stage 2: Process aidatatang_200zh"
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if [ ! -f data/fbank/.aidatatang_200zh_fbank.done ]; then
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mkdir -p data/fbank
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./local/compute_fbank_aidatatang_200zh.py
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touch data/fbank/.aidatatang_200zh_fbank.done
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fi
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fi
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