#!/usr/bin/env bash # We assume the following directories are downloaded. # # - $csj_dir # CSJ is assumed to be the USB-type directory, which should contain the following subdirectories:- # - DATA (not used in this script) # - DOC (not used in this script) # - MODEL (not used in this script) # - MORPH # - LDB (not used in this script) # - SUWDIC (not used in this script) # - SDB # - core # - ... # - noncore # - ... # - PLABEL (not used in this script) # - SUMMARY (not used in this script) # - TOOL (not used in this script) # - WAV # - core # - ... # - noncore # - ... # - XML (not used in this script) # # - $musan_dir # This directory contains the following directories downloaded from # http://www.openslr.org/17/ # - music # - noise # - speech # # By default, this script produces the original transcript like kaldi and espnet. Optionally, you # can add other transcript formats by supplying your own config files. A few examples of these # config files can be found in local/conf. # fix segmentation fault reported in https://github.com/k2-fsa/icefall/issues/674 export PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python set -eou pipefail nj=8 stage=-1 stop_stage=100 csj_dir=/mnt/host/corpus/csj musan_dir=/mnt/host/corpus/musan/musan trans_dir=$csj_dir/transcript csj_fbank_dir=/mnt/host/corpus/csj/fbank musan_fbank_dir=$musan_dir/fbank csj_manifest_dir=data/manifests musan_manifest_dir=$musan_dir/manifests . shared/parse_options.sh || exit 1 mkdir -p data log() { local fname=${BASH_SOURCE[1]##*/} echo -e "$(date '+%Y-%m-%d %H:%M:%S') (${fname}:${BASH_LINENO[0]}:${FUNCNAME[1]}) $*" } if [ $stage -le 1 ] && [ $stop_stage -ge 1 ]; then log "Stage 1: Prepare CSJ manifest" if [ ! -e $csj_manifest_dir/.csj.done ]; then lhotse prepare csj $csj_dir $csj_manifest_dir -t $trans_dir -j 16 touch $csj_manifest_dir/.csj.done fi fi if [ $stage -le 2 ] && [ $stop_stage -ge 2 ]; then log "Stage 2: Prepare musan manifest" mkdir -p $musan_manifest_dir if [ ! -e $musan_manifest_dir/.musan.done ]; then lhotse prepare musan $musan_dir $musan_manifest_dir touch $musan_manifest_dir/.musan.done fi fi if [ $stage -le 3 ] && [ $stop_stage -ge 3 ]; then log "Stage 3: Compute CSJ fbank" if [ ! -e $csj_fbank_dir/.csj-validated.done ]; then python local/compute_fbank_csj.py --manifest-dir $csj_manifest_dir \ --fbank-dir $csj_fbank_dir parts=( eval1 eval2 eval3 valid excluded train ) for part in ${parts[@]}; do python local/validate_manifest.py --manifest $csj_fbank_dir/csj_cuts_$part.jsonl.gz done touch $csj_fbank_dir/.csj-validated.done fi fi if [ $stage -le 4 ] && [ $stop_stage -ge 4 ]; then log "Stage 4: Prepare CSJ lang_char" python local/prepare_lang_char.py $csj_fbank_dir/csj_cuts_train.jsonl.gz python local/add_transcript_mode.py -f $csj_fbank_dir -c local/conf/fluent.ini local/conf/number.ini fi if [ $stage -le 5 ] && [ $stop_stage -ge 5 ]; then log "Stage 5: Compute fbank for musan" mkdir -p $musan_fbank_dir if [ ! -e $musan_fbank_dir/.musan.done ]; then python local/compute_fbank_musan.py --manifest-dir $musan_manifest_dir --fbank-dir $musan_fbank_dir touch $musan_fbank_dir/.musan.done fi fi if [ $stage -le 6 ] && [ $stop_stage -ge 6 ]; then log "Stage 6: Show manifest statistics" python local/display_manifest_statistics.py --manifest-dir $csj_fbank_dir > $csj_fbank_dir/manifest_statistics.txt cat $csj_fbank_dir/manifest_statistics.txt fi