initial commit for libriheavy

egs/libriheavy/ASR/prepare.sh

@@ -0,0 +1,130 @@
+#!/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=15
+stage=-1
+stop_stage=100
+start=0
+stop=-1
+num_per_split=2000
+
+. 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=(
+  500
+)
+
+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]}) $*"
+}
+
+manifest_dir=data/manifests
+fbank_dir=data/fbank_new
+
+mkdir -p $manifest_dir
+
+subset="medium"
+
+if [ $stage -le 1 ] && [ $stop_stage -ge 2 ]; then
+  log "Stage 1: Split libri-heavy medium"
+
+  split_dir=$fbank_dir/libriheavy_${subset}_split
+  mkdir -p $split_dir
+  if [ ! -e $split_dir/.split_completed ]; then
+    lhotse split-lazy $manifest_dir/librilight_cuts_${subset}_raw.jsonl.gz $split_dir $num_per_split
+    touch $split_dir/.split_completed
+  fi
+fi
+
+if [ $stage -le 2 ] && [ $stop_stage -ge 2 ]; then
+  log "Stage 2: Compute fbank for Libri-heavy ${subset}"
+  mkdir -p $fbank_dir
+  num_splits=$(find $fbank_dir/libriheavy_${subset}_split -name "librilight_cuts_${subset}_raw.*.jsonl.gz" | wc -l)
+  if [ ! -e $fbank_dir/.libriheavy.${subset}.done ]; then
+    for i in $(seq 0 1 7); do
+      start=${i}00
+      end=$(( i+1 ))00
+      ./local/compute_fbank_libriheavy.py \
+        --dataset ${subset} \
+        --fbank-dir $fbank_dir \
+        --num-splits $num_splits \
+        --num-workers $nj \
+        --start $start \
+        --stop $end &
+    done
+    wait
+    touch $fbank_dir/.libriheavy.${subset}.done
+  fi
+fi
+
+if [ $stage -le 3 ] && [ $stop_stage -ge 3 ]; then
+  log "Stage 3: Combine features for ${subset}"
+  if [ ! -f $fbank_dir/librilight_cuts_${subset}.jsonl.gz ]; then
+    pieces=$(find $fbank_dir/libriheavy_${subset}_split -name "librilight_cuts_${subset}.*.jsonl.gz")
+    lhotse combine $pieces $fbank_dir/librilight_cuts_${subset}.jsonl.gz
+  fi
+fi
+
+if [ $stage -le 4 ] && [ $stop_stage -ge 4 ]; then
+  log "Stage 4: Prepare BPE model"
+
+  tmp_dir=data/tmp
+  mkdir -p $tmp_dir
+  if [ ! -f $tmp_dir/transcript_words.txt ]; then
+    gunzip -c $manifest_dir/librilight_cuts_${subset}_raw.jsonl.gz |
+      jq '.supervisions[].custom.texts[]' | sed 's/" //' | sed 's/\(.*\)"/\1/' > $tmp_dir/transcript_words.txt
+  fi
+
+  if [ ! -f $tmp_dir/words.txt ]; then
+    cat $tmp_dir/transcript_words.txt | sed 's/ /\n/g' \
+      | sort -u | sed '/^$/d' > $tmp_dir/words.txt
+    (echo '!SIL'; echo '<SPOKEN_NOISE>'; echo '<UNK>'; ) |
+    cat - $tmp_dir/words.txt | sort | uniq | awk '
+    BEGIN {
+      print "<eps> 0";
+    }
+    {
+      if ($1 == "<s>") {
+
+        print "<s> is in the vocabulary!" | "cat 1>&2"
+        exit 1;
+      }
+      if ($1 == "</s>") {
+        print "</s> is in the vocabulary!" | "cat 1>&2"
+        exit 1;
+      }
+      printf("%s %d\n", $1, NR);
+    }
+    END {
+      printf("#0 %d\n", NR+1);
+      printf("<s> %d\n", NR+2);
+      printf("</s> %d\n", NR+3);
+    }' > $tmp_dir/words || exit 1;
+    mv $tmp_dir/words $tmp_dir/words.txt
+  fi
+
+  for vocab_size in ${vocab_sizes[@]}; do
+    lang_dir=data/lang_bpe_${vocab_size}_${subset}
+    mkdir -p $lang_dir
+    cp $tmp_dir/words.txt $lang_dir/words.txt
+
+    if [ ! -f $lang_dir/bpe.model ]; then
+      ./local/train_bpe_model.py \
+        --lang-dir $lang_dir \
+        --vocab-size $vocab_size \
+        --transcript $tmp_dir/transcript_words.txt
+    fi
+
+    done
+fi

egs/libriheavy/ASR/shared

@@ -0,0 +1 @@
+../../../icefall/shared