diff --git a/egs/LJSpeech/ASR/prepare_4446.sh b/egs/LJSpeech/ASR/prepare_4446.sh
new file mode 100755
index 000000000..f79f5114f
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+++ b/egs/LJSpeech/ASR/prepare_4446.sh
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+#!/usr/bin/env bash
+
+# fix segmentation fault reported in https://github.com/k2-fsa/icefall/issues/674
+export PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python
+#. ../../../tools/activate_python.sh
+
+set -eou pipefail
+
+nj=15
+stage=-1
+stop_stage=100
+
+# We assume dl_dir (download dir) contains the following
+# directories and files. If not, they will be downloaded
+# by this script automatically.
+#
+#  - $dl_dir/LJSpeech
+#      You can find BOOKS.TXT, test-clean, train-clean-360, etc, inside it.
+#      You can download them from https://www.openslr.org/12
+#
+#  - $dl_dir/lm
+#      This directory contains the following files downloaded from
+#       http://www.openslr.org/resources/11
+#
+#        - 3-gram.pruned.1e-7.arpa.gz
+#        - 3-gram.pruned.1e-7.arpa
+#        - 4-gram.arpa.gz
+#        - 4-gram.arpa
+#        - LJSpeech-vocab.txt
+#        - LJSpeech-lexicon.txt
+#        - LJSpeech-lm-norm.txt.gz
+#
+#  - $dl_dir/musan
+#      This directory contains the following directories downloaded from
+#       http://www.openslr.org/17/
+#
+#     - music
+#     - noise
+#     - speech
+dl_dir=/DB/LibriSpeech_tar
+
+. shared/parse_options.sh || exit 1
+
+# vocab size for sentence piece models.
+# It will generate data/lang_bpe_xxx,
+# data/lang_bpe_yyy if the array contains xxx, yyy
+vocab_sizes=(
+  5000
+  2000
+  1000
+  500
+)
+
+# All files generated by this script are saved in "data".
+# You can safely remove "data" and rerun this script to regenerate it.
+mkdir -p data
+
+log() {
+  # This function is from espnet
+  local fname=${BASH_SOURCE[1]##*/}
+  echo -e "$(date '+%Y-%m-%d %H:%M:%S') (${fname}:${BASH_LINENO[0]}:${FUNCNAME[1]}) $*"
+}
+
+log "dl_dir: $dl_dir"
+
+if [ $stage -le 0 ] && [ $stop_stage -ge 0 ]; then
+  log "Stage 0: Download data"
+
+  # If you have pre-downloaded it to /path/to/LJSpeech,
+  # you can create a symlink
+  #
+  #   ln -sfv /path/to/LJSpeech $dl_dir/LJSpeech
+  #
+  if [ ! -d $dl_dir/LJSpeech/wav ]; then
+    echo "download not supported yet";
+  fi
+
+  # If you have pre-downloaded it to /path/to/musan,
+  # you can create a symlink
+  #
+  #   ln -sfv /path/to/musan $dl_dir/
+  #
+  if [ ! -d $dl_dir/musan ]; then
+    lhotse download musan $dl_dir
+  fi
+fi
+
+if [ $stage -le 1 ] && [ $stop_stage -ge 1 ]; then
+  log "Stage 1: Prepare LJSpeech manifest"
+  # We assume that you have downloaded the LJSpeech corpus (ver 1.1)
+  # You need to prepare LJSpeech according to data_settings/*_list.txt like below
+  # $dl_dir/LJSpeech
+  # |-- wavs
+  # |   |-- train
+  # |   |-- dev
+  # |   |-- test
+  # |-- texts
+  # |-- metadata.csv
+
+  # to $dl_dir/LJSpeech
+  if [ ! -e $dl_dir/LJSpeech/.LJSpeech.done ]; then
+    for dset in "train" "dev" "test"; do
+      log "Resampling LJSpeech $dset set"
+      file_list=`ls $dl_dir/LJSpeech/wavs/$dset/`
+      for wavfile in $file_list; do
+        sox -v 0.9 $dl_dir/LJSpeech/wavs/$dset/$wavfile -r 16000 -e signed-integer $dl_dir/LJSpeech/wavs/$dset/tmp_$wavfile
+        mv $dl_dir/LJSpeech/wavs/$dset/tmp_$wavfile $dl_dir/LJSpeech/wavs/$dset/$wavfile
+      done
+      log "Resampling $dset done"
+    done
+    python local/prepare_LJSpeech_text.py $dl_dir/LJSpeech/metadata.csv
+    touch $dl_dir/LJSpeech/.LJSpeech.done
+  fi
+
+  mkdir -p data/manifests
+  if [ ! -e data/manifests/.LJSpeech.done ]; then
+    python local/prepare_LJSpeech.py $dl_dir/LJSpeech
+    touch data/manifests/.LJSpeech.done
+  fi
+fi
+
+if [ $stage -le 2 ] && [ $stop_stage -ge 2 ]; then
+  log "Stage 2: Prepare musan manifest"
+  # We assume that you have downloaded the musan corpus
+  # to data/musan
+  mkdir -p data/manifests
+  if [ ! -e data/manifests/.musan.done ]; then
+    lhotse prepare musan $dl_dir/musan data/manifests
+    touch data/manifests/.musan.done
+  fi
+fi
+
+if [ $stage -le 2 ] && [ $stop_stage -ge 2 ]; then
+  log "Stage 3: Compute fbank for LJSpeech"
+  mkdir -p data/fbank
+  if [ ! -e data/fbank/.LJSpeech.done ]; then
+    ./local/compute_fbank_LJSpeech.py --data-dir $dl_dir/LJSpeech
+    touch data/fbank/.LJSpeech.done
+  fi
+
+  if [ ! -e data/fbank/.LJSpeech-validated.done ]; then
+    log "Validating data/fbank for LJSpeech"
+    parts=`ls $dl_dir/LJSpeech/wavs/`
+    for part in ${parts[@]}; do
+      python3 ./local/validate_manifest.py \
+        data/fbank/LJSpeech_cuts_${part}.jsonl.gz
+    done
+  fi
+fi
+
+if [ $stage -le 4 ] && [ $stop_stage -ge 4 ]; then
+  log "Stage 4: Compute fbank for musan"
+  mkdir -p data/fbank
+  if [ ! -e data/fbank/.musan.done ]; then
+    ./local/compute_fbank_musan.py
+    touch data/fbank/.musan.done
+  fi
+fi