#!/usr/bin/env bash # fix segmentation fault reported in https://github.com/k2-fsa/icefall/issues/674 export PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python set -eou pipefail nj=16 stage=-1 stop_stage=100 dl_dir=$PWD/download . shared/parse_options.sh || exit 1 vocab_sizes=( # 2000 # 1000 500 ) # multidataset list. # LibriSpeech and musan are required. # The others are optional. multidataset=( "gigaspeech", "commonvoice", "librilight", ) # All files generated by this script are saved in "data". # You can safely remove "data" and rerun this script to regenerate it. mkdir -p data log() { # This function is from espnet local fname=${BASH_SOURCE[1]##*/} echo -e "$(date '+%Y-%m-%d %H:%M:%S') (${fname}:${BASH_LINENO[0]}:${FUNCNAME[1]}) $*" } log "dl_dir: $dl_dir" log "Dataset: musan" if [ $stage -le 1 ] && [ $stop_stage -ge 1 ]; then log "Stage 1: Soft link fbank of musan" mkdir -p data/fbank if [ -e ../../librispeech/ASR/data/fbank/.musan.done ]; then cd data/fbank ln -svf $(realpath ../../../../librispeech/ASR/data/fbank/musan_feats) . ln -svf $(realpath ../../../../librispeech/ASR/data/fbank/musan_cuts.jsonl.gz) . cd ../.. else log "Abort! Please run ../../librispeech/ASR/prepare.sh --stage 4 --stop-stage 4" exit 1 fi fi log "Dataset: THCHS-30" if [ $stage -le 2 ] && [ $stop_stage -ge 2 ]; then log "Stage 2: Prepare THCHS-30" if [ ! -d $dl_dir/thchs30 ]; then log "Downloading THCHS-30" lhotse download thchs30 $dl_dir/thchs30 fi if [ ! -f data/manifests/.thchs30.done ]; then mkdir -p data/manifests lhotse prepare thchs-30 $dl_dir/thchs30 data/manifests/thchs30 touch data/manifests/.thchs30.done fi if [ ! -f data/fbank/.thchs30.done ]; then mkdir -p data/fbank ./local/compute_fbank_thchs30.py touch data/fbank/.thchs30.done fi fi log "Dataset: AISHELL-1" if [ $stage -le 3 ] && [ $stop_stage -ge 3 ]; then log "Stage 3: Prepare AISHELL-1" if [ -e ../../aishell/ASR/data/fbank/.aishell.done ]; then cd data/fbank ln -svf $(realpath ../../../../aishell/ASR/data/fbank/aishell_feats_train) . ln -svf $(realpath ../../../../aishell/ASR/data/fbank/aishell_feats_dev) . ln -svf $(realpath ../../../../aishell/ASR/data/fbank/aishell_feats_test) . ln -svf $(realpath ../../../../aishell/ASR/data/fbank/aishell_cuts_train.jsonl.gz) . ln -svf $(realpath ../../../../aishell/ASR/data/fbank/aishell_cuts_dev.jsonl.gz) . ln -svf $(realpath ../../../../aishell/ASR/data/fbank/aishell_cuts_test.jsonl.gz) . cd ../.. else log "Abort! Please run ../../aishell/ASR/prepare.sh --stage 3 --stop-stage 3" exit 1 fi fi log "Dataset: AISHELL-2" if [ $stage -le 4 ] && [ $stop_stage -ge 4 ]; then log "Stage 4: Prepare AISHELL-2" if [ -e ../../aishell/ASR/data/fbank/.aishell2.done ]; then cd data/fbank ln -svf $(realpath ../../../../aishell2/ASR/data/fbank/aishell2_feats_train) . ln -svf $(realpath ../../../../aishell2/ASR/data/fbank/aishell_feats_dev) . ln -svf $(realpath ../../../../aishell2/ASR/data/fbank/aishell_feats_test) . ln -svf $(realpath ../../../../aishell2/ASR/data/fbank/aishell_cuts_train.jsonl.gz) . ln -svf $(realpath ../../../../aishell2/ASR/data/fbank/aishell_cuts_dev.jsonl.gz) . ln -svf $(realpath ../../../../aishell2/ASR/data/fbank/aishell_cuts_test.jsonl.gz) . cd ../.. else log "Abort! Please run ../../aishell2/ASR/prepare.sh --stage 3 --stop-stage 3" exit 1 fi fi