diff --git a/egs/tedlium2/ASR/.prepare.sh.swp b/egs/tedlium2/ASR/.prepare.sh.swp new file mode 100644 index 000000000..1b5b08a23 Binary files /dev/null and b/egs/tedlium2/ASR/.prepare.sh.swp differ diff --git a/egs/tedlium2/ASR/prepare_ted3.sh b/egs/tedlium2/ASR/prepare_ted3.sh index 31e0ac32e..950f6fd15 100755 --- a/egs/tedlium2/ASR/prepare_ted3.sh +++ b/egs/tedlium2/ASR/prepare_ted3.sh @@ -5,7 +5,6 @@ export PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python set -eou pipefail -nj=15 stage=0 stop_stage=100 @@ -13,7 +12,7 @@ stop_stage=100 # directories and files. If not, they will be downloaded # by this script automatically. # -# - $dl_dir/tedlium2 +# - $dl_dir/tedlium3 # You can find data, doc, legacy, LM, etc, inside it. # You can download them from https://www.openslr.org/51 # @@ -24,7 +23,7 @@ stop_stage=100 # - music # - noise # - speech -dl_dir=/DB/LibriSpeech_tar +dl_dir=/home/work/workspace/tedlium3 . shared/parse_options.sh || exit 1 @@ -58,10 +57,17 @@ if [ $stage -le 0 ] && [ $stop_stage -ge 0 ]; then # # ln -sfv /path/to/tedlium3 $dl_dir/tedlium3 # - #if [ ! -d $dl_dir/tedlium2 ]; then - # lhotse download tedlium $dl_dir - # mv $dl_dir/TEDLIUM_release-2 $dl_dir/tedlium2 - #fi + if [ ! -d $dl_dir/tedlium3 ]; then + lhotse download tedlium $dl_dir + mv $dl_dir/TEDLIUM_release-3 $dl_dir/tedlium3 + fi + + # Download big and small 4 gram lanuage models + if [ ! -d $dl_dir/lm ]; then + wget --continue http://kaldi-asr.org/models/5/4gram_small.arpa.gz -P $dl_dir/lm + wget --continue http://kaldi-asr.org/models/5/4gram_big.arpa.gz -P $dl_dir/lm + gzip -d $dl_dir/lm/4gram_small.arpa.gz $dl_dir/lm/4gram_big.arpa.gz + fi # If you have pre-downloaded it to /path/to/musan, # you can create a symlink @@ -74,13 +80,13 @@ if [ $stage -le 0 ] && [ $stop_stage -ge 0 ]; then fi if [ $stage -le 1 ] && [ $stop_stage -ge 1 ]; then - log "Stage 1: Prepare tedlium2 manifests" - if [ ! -f data/manifests/.tedlium2.done ]; then + log "Stage 1: Prepare tedlium3 manifests" + if [ ! -f data/manifests/.tedlium3.done ]; then # We assume that you have downloaded the tedlium3 corpus # to $dl_dir/tedlium3 mkdir -p data/manifests - lhotse prepare tedlium $dl_dir/tedlium2 data/manifests - touch data/manifests/.tedlium2.done + lhotse prepare tedlium $dl_dir/tedlium3 data/manifests + touch data/manifests/.tedlium3.done fi fi @@ -96,12 +102,19 @@ if [ $stage -le 2 ] && [ $stop_stage -ge 2 ]; then fi if [ $stage -le 3 ] && [ $stop_stage -ge 3 ]; then - log "Stage 3: Compute fbank for tedlium2" + log "Stage 3: Compute fbank for tedlium3" - if [ ! -e data/fbank/.tedlium2.done ]; then + if [ ! -e data/fbank/.tedlium3.done ]; then mkdir -p data/fbank + python3 ./local/compute_fbank_tedlium.py - touch data/fbank/.tedlium2.done + + gunzip -c data/fbank/tedlium_cuts_train.jsonl.gz | shuf | \ + gzip -c > data/fbank/tedlium_cuts_train-shuf.jsonl.gz + mv data/fbank/tedlium_cuts_train-shuf.jsonl.gz \ + data/fbank/tedlium_cuts_train.jsonl.gz + + touch data/fbank/.tedlium3.done fi fi @@ -115,28 +128,24 @@ if [ $stage -le 4 ] && [ $stop_stage -ge 4 ]; then fi if [ $stage -le 5 ] && [ $stop_stage -ge 5 ]; then - log "Stage 5: Prepare phone based lang" - lang_dir=data/lang_phone + log "Stage 5: Prepare BPE train data and set of words" + lang_dir=data/lang mkdir -p $lang_dir - if [ ! -f $lang_dir/train.text ]; then + if [ ! -f $lang_dir/train.txt ]; then + gunzip -c $dl_dir/tedlium3/LM/*.en.gz | sed 's: <\/s>::g' > $lang_dir/train_orig.txt + ./local/prepare_transcripts.py \ - --lang-dir $lang_dir \ - --manifests-dir data/manifests + --input-text-path $lang_dir/train_orig.txt \ + --output-text-path $lang_dir/train.txt fi - if [ ! -f $lang_dir/lexicon_words.txt ]; then - ./local/prepare_lexicon.py \ - --lang-dir $lang_dir \ - --manifests-dir data/manifests - fi + if [ ! -f $lang_dir/words.txt ]; then - (echo '!SIL SIL'; echo ' '; ) | - cat - $lang_dir/lexicon_words.txt | - sort | uniq > $lang_dir/lexicon.txt + awk '{print $1}' $dl_dir/tedlium3/TEDLIUM.152k.dic | + sed 's:([0-9])::g' | sort | uniq > $lang_dir/words_orig.txt - if [ ! -f $lang_dir/L_disambig.pt ]; then - ./local/prepare_lang.py --lang-dir $lang_dir + ./local/prepare_words.py --lang-dir $lang_dir fi fi @@ -148,92 +157,56 @@ if [ $stage -le 6 ] && [ $stop_stage -ge 6 ]; then mkdir -p $lang_dir # We reuse words.txt from phone based lexicon # so that the two can share G.pt later. - cp data/lang_phone/words.txt $lang_dir - - if [ ! -f $lang_dir/transcript_words.txt ]; then - log "Generate data for BPE training" - cat data/lang_phone/train.text | - cut -d " " -f 2- > $lang_dir/transcript_words.txt - # remove the for transcript_words.txt - sed -i 's/ //g' $lang_dir/transcript_words.txt - sed -i 's/ //g' $lang_dir/transcript_words.txt - sed -i 's///g' $lang_dir/transcript_words.txt - fi + cp data/lang/words.txt $lang_dir ./local/train_bpe_model.py \ --lang-dir $lang_dir \ --vocab-size $vocab_size \ - --transcript $lang_dir/transcript_words.txt + --transcript data/lang/train.txt if [ ! -f $lang_dir/L_disambig.pt ]; then - ./local/prepare_lang_bpe.py --lang-dir $lang_dir + ./local/prepare_lang_bpe.py --lang-dir $lang_dir --oov "" fi done fi if [ $stage -le 7 ] && [ $stop_stage -ge 7 ]; then - log "Stage 7: Prepare bigram P" - - for vocab_size in ${vocab_sizes[@]}; do - lang_dir=data/lang_bpe_${vocab_size} - - if [ ! -f $lang_dir/transcript_tokens.txt ]; then - ./local/convert_transcript_words_to_tokens.py \ - --lexicon $lang_dir/lexicon.txt \ - --transcript $lang_dir/transcript_words.txt \ - --oov "" \ - > $lang_dir/transcript_tokens.txt - fi - - if [ ! -f $lang_dir/P.arpa ]; then - ./shared/make_kn_lm.py \ - -ngram-order 2 \ - -text $lang_dir/transcript_tokens.txt \ - -lm $lang_dir/P.arpa - fi - - if [ ! -f $lang_dir/P.fst.txt ]; then - python3 -m kaldilm \ - --read-symbol-table="$lang_dir/tokens.txt" \ - --disambig-symbol='#0' \ - --max-order=2 \ - $lang_dir/P.arpa > $lang_dir/P.fst.txt - fi - done -fi - -if [ $stage -le 8 ] && [ $stop_stage -ge 8 ]; then - log "Stage 8: Prepare G" + log "Stage 7: Prepare G" # We assume you have install kaldilm, if not, please install # it using: pip install kaldilm mkdir -p data/lm - if [ ! -f data/lm/G_3_gram.fst.txt ]; then + if [ ! -f data/lm/G_4_gram_small.fst.txt ]; then # It is used in building HLG python3 -m kaldilm \ - --read-symbol-table="data/lang_phone/words.txt" \ - --disambig-symbol='#0' \ - --max-order=3 \ - $dl_dir/lm/3-gram.pruned.1e-7.arpa > data/lm/G_3_gram.fst.txt - fi - - if [ ! -f data/lm/G_4_gram.fst.txt ]; then - # It is used for LM rescoring - python3 -m kaldilm \ - --read-symbol-table="data/lang_phone/words.txt" \ + --read-symbol-table="data/lang/words.txt" \ --disambig-symbol='#0' \ --max-order=4 \ - $dl_dir/lm/4-gram.arpa > data/lm/G_4_gram.fst.txt + --max-arpa-warnings=-1 \ + $dl_dir/lm/4gram_small.arpa > data/lm/G_4_gram_small.fst.txt + fi + + if [ ! -f data/lm/G_4_gram_big.fst.txt ]; then + # It is used for LM rescoring + python3 -m kaldilm \ + --read-symbol-table="data/lang/words.txt" \ + --disambig-symbol='#0' \ + --max-order=4 \ + --max-arpa-warnings=-1 \ + $dl_dir/lm/4gram_big.arpa > data/lm/G_4_gram_big.fst.txt fi fi -if [ $stage -le 9 ] && [ $stop_stage -ge 9 ]; then - log "Stage 9: Compile HLG" - ./local/compile_hlg.py --lang-dir data/lang_phone +if [ $stage -le 8 ] && [ $stop_stage -ge 8 ]; then + log "Stage 8: Compile HLG" for vocab_size in ${vocab_sizes[@]}; do lang_dir=data/lang_bpe_${vocab_size} - ./local/compile_hlg.py --lang-dir $lang_dir + + if [ ! -f $lang_dir/HLG.pt ]; then + ./local/compile_hlg.py \ + --lang-dir $lang_dir \ + --lm G_4_gram_small + fi done fi -