mirror of
https://github.com/k2-fsa/icefall.git
synced 2025-08-17 13:12:19 +00:00
85 lines
2.3 KiB
Bash
Executable File
85 lines
2.3 KiB
Bash
Executable File
#!/usr/bin/env bash
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# fix segmentation fault reported in https://github.com/k2-fsa/icefall/issues/674
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export PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python
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set -eou pipefail
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stage=-1
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stop_stage=100
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dl_dir=$PWD/download
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mkdir -p $dl_dir
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. shared/parse_options.sh || exit 1
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# All files generated by this script are saved in "data".
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# You can safely remove "data" and rerun this script to regenerate it.
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mkdir -p data
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log() {
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# This function is from espnet
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local fname=${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 -1 ] && [ $stop_stage -ge -1 ]; then
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log "Stage -1: build monotonic_align lib (used by ./matcha)"
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for recipe in matcha; do
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if [ ! -d $recipe/monotonic_align/build ]; then
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cd $recipe/monotonic_align
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python3 setup.py build_ext --inplace
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cd ../../
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else
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log "monotonic_align lib for $recipe already built"
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fi
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done
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fi
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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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# The directory $dl_dir/BANSYP contains the following 3 directories
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# ls -lh $dl_dir/BZNSYP/
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# total 0
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# drwxr-xr-x 10002 kuangfangjun root 0 Jan 4 2019 PhoneLabeling
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# drwxr-xr-x 3 kuangfangjun root 0 Jan 31 2019 ProsodyLabeling
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# drwxr-xr-x 10003 kuangfangjun root 0 Aug 26 17:45 Wave
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# If you have trouble accessing huggingface.co, please use
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#
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# cd $dl_dir
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# wget https://huggingface.co/openspeech/BZNSYP/resolve/main/BZNSYP.tar.bz2
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# tar xf BZNSYP.tar.bz2
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# cd ..
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# If you have pre-downloaded it to /path/to/BZNSYP, you can create a symlink
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#
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# ln -sfv /path/to/BZNSYP $dl_dir/BZNSYP
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#
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if [ ! -d $dl_dir/BZNSYP/Wave ]; then
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lhotse download baker-zh $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 baker-zh manifest"
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# We assume that you have downloaded the baker corpus
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# to $dl_dir/BZNSYP
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mkdir -p data/manifests
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if [ ! -e data/manifests/.baker-zh.done ]; then
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lhotse prepare baker-zh $dl_dir/BZNSYP data/manifests
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touch data/manifests/.baker-zh.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: Generate tokens.txt"
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if [ ! -e data/tokens.txt ]; then
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python3 ./local/generate_tokens.py --tokens data/tokens.txt
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fi
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fi
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