diff --git a/egs/aishell/ASR/prepare.sh b/egs/aishell/ASR/prepare.sh index 4feed55a8..d36dc5ed3 100755 --- a/egs/aishell/ASR/prepare.sh +++ b/egs/aishell/ASR/prepare.sh @@ -243,7 +243,7 @@ if [ $stage -le 8 ] && [ $stop_stage -ge 8 ]; then -lm data/lm/3-gram.unpruned.arpa fi - # We assume you have install kaldilm, if not, please install + # We assume you have installed kaldilm, if not, please install # it using: pip install kaldilm if [ ! -f data/lm/G_3_gram_char.fst.txt ]; then # It is used in building HLG diff --git a/egs/aishell2/ASR/prepare.sh b/egs/aishell2/ASR/prepare.sh index 6eb6268f5..a5eb9bd13 100755 --- a/egs/aishell2/ASR/prepare.sh +++ b/egs/aishell2/ASR/prepare.sh @@ -159,7 +159,7 @@ fi if [ $stage -le 6 ] && [ $stop_stage -ge 6 ]; then log "Stage 6: Prepare G" - # We assume you have install kaldilm, if not, please install + # We assume you have installed kaldilm, if not, please install # it using: pip install kaldilm if [ ! -f ${lang_char_dir}/3-gram.unpruned.arpa ]; then diff --git a/egs/gigaspeech/ASR/prepare.sh b/egs/gigaspeech/ASR/prepare.sh index bd255dc6a..a23b708d7 100755 --- a/egs/gigaspeech/ASR/prepare.sh +++ b/egs/gigaspeech/ASR/prepare.sh @@ -293,7 +293,7 @@ fi if [ $stage -le 12 ] && [ $stop_stage -ge 12 ]; then log "Stage 12: Prepare G" - # We assume you have install kaldilm, if not, please install + # We assume you have installed kaldilm, if not, please install # it using: pip install kaldilm mkdir -p data/lm diff --git a/egs/librispeech/ASR/prepare.sh b/egs/librispeech/ASR/prepare.sh index 739608572..4a5072cc0 100755 --- a/egs/librispeech/ASR/prepare.sh +++ b/egs/librispeech/ASR/prepare.sh @@ -278,7 +278,7 @@ fi if [ $stage -le 8 ] && [ $stop_stage -ge 8 ]; then log "Stage 8: Prepare G" - # We assume you have install kaldilm, if not, please install + # We assume you have installed kaldilm, if not, please install # it using: pip install kaldilm mkdir -p data/lm diff --git a/egs/librispeech/WSASR/prepare.sh b/egs/librispeech/WSASR/prepare.sh index f6a922fde..0d2a67259 100755 --- a/egs/librispeech/WSASR/prepare.sh +++ b/egs/librispeech/WSASR/prepare.sh @@ -193,7 +193,7 @@ fi if [ $stage -le 5 ] && [ $stop_stage -ge 5 ]; then log "Stage 5: Prepare G" - # We assume you have install kaldilm, if not, please install + # We assume you have installed kaldilm, if not, please install # it using: pip install kaldilm mkdir -p "${lm_dir}" diff --git a/egs/mgb2/ASR/prepare.sh b/egs/mgb2/ASR/prepare.sh index 899d15d97..4ea427371 100755 --- a/egs/mgb2/ASR/prepare.sh +++ b/egs/mgb2/ASR/prepare.sh @@ -188,7 +188,7 @@ fi if [ $stage -le 8 ] && [ $stop_stage -ge 8 ]; then log "Stage 8: Prepare G" - # We assume you have install kaldilm, if not, please install + # We assume you have installed kaldilm, if not, please install # it using: pip install kaldilm for vocab_size in ${vocab_sizes[@]}; do lang_dir=data/lang_bpe_${vocab_size} diff --git a/egs/swbd/ASR/prepare.sh b/egs/swbd/ASR/prepare.sh index 47d12613b..6b6f4ff86 100755 --- a/egs/swbd/ASR/prepare.sh +++ b/egs/swbd/ASR/prepare.sh @@ -311,7 +311,7 @@ fi if [ $stage -le 8 ] && [ $stop_stage -ge 8 ]; then log "Stage 8: Prepare G" lang_dir=data/lang_phone - # We assume you have install kaldilm, if not, please install + # We assume you have installed kaldilm, if not, please install # it using: pip install kaldilm mkdir -p data/lm diff --git a/egs/tal_csasr/ASR/prepare.sh b/egs/tal_csasr/ASR/prepare.sh index 352e8ba66..2de4ac8f5 100755 --- a/egs/tal_csasr/ASR/prepare.sh +++ b/egs/tal_csasr/ASR/prepare.sh @@ -150,7 +150,7 @@ if [ $stage -le 5 ] && [ $stop_stage -ge 5 ]; then fi # Prepare words.txt - # We assume you have install jieba, if not, please install + # We assume you have installed jieba, if not, please install # it using: pip install jieba if [ ! -f $lang_char_dir/words.txt ]; then python -m jieba $lang_char_dir/text | sed 's/\///g;s/\s\+/ /g' > $lang_char_dir/text.seg diff --git a/egs/tedlium3/ASR/prepare.sh b/egs/tedlium3/ASR/prepare.sh index 3d90436ff..2f58ca0ee 100755 --- a/egs/tedlium3/ASR/prepare.sh +++ b/egs/tedlium3/ASR/prepare.sh @@ -172,7 +172,7 @@ fi if [ $stage -le 7 ] && [ $stop_stage -ge 7 ]; then log "Stage 7: Prepare G" - # We assume you have install kaldilm, if not, please install + # We assume you have installed kaldilm, if not, please install # it using: pip install kaldilm mkdir -p data/lm diff --git a/egs/wenetspeech/ASR/prepare.sh b/egs/wenetspeech/ASR/prepare.sh index 097a59a5f..f7eb9f0d0 100755 --- a/egs/wenetspeech/ASR/prepare.sh +++ b/egs/wenetspeech/ASR/prepare.sh @@ -237,7 +237,7 @@ fi if [ $stage -le 17 ] && [ $stop_stage -ge 17 ]; then log "Stage 17: Prepare G" # It will take about 20 minutes. - # We assume you have install kaldilm, if not, please install + # We assume you have installed kaldilm, if not, please install # it using: pip install kaldilm if [ ! -f $lang_char_dir/3-gram.unpruned.arpa ]; then python3 ./shared/make_kn_lm.py \ diff --git a/egs/xbmu_amdo31/ASR/prepare.sh b/egs/xbmu_amdo31/ASR/prepare.sh index 32ae440f7..21836840c 100755 --- a/egs/xbmu_amdo31/ASR/prepare.sh +++ b/egs/xbmu_amdo31/ASR/prepare.sh @@ -224,7 +224,7 @@ fi if [ $stage -le 8 ] && [ $stop_stage -ge 8 ]; then log "Stage 8: Prepare G" - # We assume you have install kaldilm, if not, please install + # We assume you have installed kaldilm, if not, please install # it using: pip install kaldilm mkdir -p data/lm