mirrors/icefall
1
0
Fork 0
mirror of https://github.com/k2-fsa/icefall.git synced 2025-08-08 09:32:20 +00:00
Code Issues Packages Projects Releases Wiki Activity

typo fixed (#1334)

Browse Source
This commit is contained in:
zr_jin 2023-10-25 00:03:33 +08:00 committed by GitHub
parent f82bccfd63
commit 1814bbb0e7
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
11 changed files with 11 additions and 11 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
egs/aishell/ASR/prepare.sh
View File

@ -243,7 +243,7 @@ if [ $stage -le 8 ] && [ $stop_stage -ge 8 ]; then
-lm data/lm/3-gram.unpruned.arpa -lm data/lm/3-gram.unpruned.arpa
fi 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 # it using: pip install kaldilm
if [ ! -f data/lm/G_3_gram_char.fst.txt ]; then if [ ! -f data/lm/G_3_gram_char.fst.txt ]; then
# It is used in building HLG # It is used in building HLG

2
egs/aishell2/ASR/prepare.sh
View File

@ -159,7 +159,7 @@ fi
if [ $stage -le 6 ] && [ $stop_stage -ge 6 ]; then if [ $stage -le 6 ] && [ $stop_stage -ge 6 ]; then
log "Stage 6: Prepare G" 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 # it using: pip install kaldilm
if [ ! -f ${lang_char_dir}/3-gram.unpruned.arpa ]; then if [ ! -f ${lang_char_dir}/3-gram.unpruned.arpa ]; then

2
egs/gigaspeech/ASR/prepare.sh
View File

@ -293,7 +293,7 @@ fi
if [ $stage -le 12 ] && [ $stop_stage -ge 12 ]; then if [ $stage -le 12 ] && [ $stop_stage -ge 12 ]; then
log "Stage 12: Prepare G" 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 # it using: pip install kaldilm
mkdir -p data/lm mkdir -p data/lm

2
egs/librispeech/ASR/prepare.sh
View File

@ -278,7 +278,7 @@ fi
if [ $stage -le 8 ] && [ $stop_stage -ge 8 ]; then if [ $stage -le 8 ] && [ $stop_stage -ge 8 ]; then
log "Stage 8: Prepare G" 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 # it using: pip install kaldilm
mkdir -p data/lm mkdir -p data/lm

2
egs/librispeech/WSASR/prepare.sh
View File

@ -193,7 +193,7 @@ fi
if [ $stage -le 5 ] && [ $stop_stage -ge 5 ]; then if [ $stage -le 5 ] && [ $stop_stage -ge 5 ]; then
log "Stage 5: Prepare G" log "Stage 5: Prepare G"
# We assume you have install kaldilm, if not, please install # We assume you have installed kaldilm, if not, please install
# it using: pip install kaldilm # it using: pip install kaldilm
mkdir -p "${lm_dir}" mkdir -p "${lm_dir}"

2
egs/mgb2/ASR/prepare.sh
View File

@ -188,7 +188,7 @@ fi
if [ $stage -le 8 ] && [ $stop_stage -ge 8 ]; then if [ $stage -le 8 ] && [ $stop_stage -ge 8 ]; then
log "Stage 8: Prepare G" 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 # it using: pip install kaldilm
for vocab_size in ${vocab_sizes[@]}; do for vocab_size in ${vocab_sizes[@]}; do
lang_dir=data/lang_bpe_${vocab_size} lang_dir=data/lang_bpe_${vocab_size}

2
egs/swbd/ASR/prepare.sh
View File

@ -311,7 +311,7 @@ fi
if [ $stage -le 8 ] && [ $stop_stage -ge 8 ]; then if [ $stage -le 8 ] && [ $stop_stage -ge 8 ]; then
log "Stage 8: Prepare G" log "Stage 8: Prepare G"
lang_dir=data/lang_phone 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 # it using: pip install kaldilm
mkdir -p data/lm mkdir -p data/lm

2
egs/tal_csasr/ASR/prepare.sh
View File

@ -150,7 +150,7 @@ if [ $stage -le 5 ] && [ $stop_stage -ge 5 ]; then
fi fi
# Prepare words.txt # 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 # it using: pip install jieba
if [ ! -f $lang_char_dir/words.txt ]; then 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 python -m jieba $lang_char_dir/text | sed 's/\///g;s/\s\+/ /g' > $lang_char_dir/text.seg

2
egs/tedlium3/ASR/prepare.sh
View File

@ -172,7 +172,7 @@ fi
if [ $stage -le 7 ] && [ $stop_stage -ge 7 ]; then if [ $stage -le 7 ] && [ $stop_stage -ge 7 ]; then
log "Stage 7: Prepare G" 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 # it using: pip install kaldilm
mkdir -p data/lm mkdir -p data/lm

2
egs/wenetspeech/ASR/prepare.sh
View File

@ -237,7 +237,7 @@ fi
if [ $stage -le 17 ] && [ $stop_stage -ge 17 ]; then if [ $stage -le 17 ] && [ $stop_stage -ge 17 ]; then
log "Stage 17: Prepare G" log "Stage 17: Prepare G"
# It will take about 20 minutes. # 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 # it using: pip install kaldilm
if [ ! -f $lang_char_dir/3-gram.unpruned.arpa ]; then if [ ! -f $lang_char_dir/3-gram.unpruned.arpa ]; then
python3 ./shared/make_kn_lm.py \ python3 ./shared/make_kn_lm.py \

2
egs/xbmu_amdo31/ASR/prepare.sh
View File

@ -224,7 +224,7 @@ fi
if [ $stage -le 8 ] && [ $stop_stage -ge 8 ]; then if [ $stage -le 8 ] && [ $stop_stage -ge 8 ]; then
log "Stage 8: Prepare G" 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 # it using: pip install kaldilm
mkdir -p data/lm mkdir -p data/lm