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egs/farsdat/s5/local/farsdat_prepare_dict.sh 3.04 KB
8dcb6dfcb   Yannick Estève   first commit
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  #!/bin/bash
  
  # Copyright 2013   (Authors: Daniel Povey, Bagher BabaAli)
  
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #  http://www.apache.org/licenses/LICENSE-2.0
  #
  # THIS CODE IS PROVIDED *AS IS* BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
  # KIND, EITHER EXPRESS OR IMPLIED, INCLUDING WITHOUT LIMITATION ANY IMPLIED
  # WARRANTIES OR CONDITIONS OF TITLE, FITNESS FOR A PARTICULAR PURPOSE,
  # MERCHANTABLITY OR NON-INFRINGEMENT.
  # See the Apache 2 License for the specific language governing permissions and
  # limitations under the License.
  
  # Call this script from one level above, e.g. from the s3/ directory.  It puts
  # its output in data/local/.
  
  # The parts of the output of this that will be needed are
  # [in data/local/dict/ ]
  # lexicon.txt
  # extra_questions.txt
  # nonsilence_phones.txt
  # optional_silence.txt
  # silence_phones.txt
  
  # run this from ../
  srcdir=data/train
  dir=data/local/dict
  lmdir=data/local/nist_lm
  tmpdir=data/local/lm_tmp
  
  mkdir -p $dir $lmdir $tmpdir
  
  [ -f path.sh ] && . ./path.sh
  
  #(1) Dictionary preparation:
  
  # Make phones symbol-table (adding in silence and verbal and non-verbal noises at this point).
  
  # silence phones, one per line.
  echo sil > $dir/silence_phones.txt
  echo sil > $dir/optional_silence.txt
  
  # nonsilence phones; on each line is a list of phones that correspond
  # really to the same base phone.
  
  # Create the lexicon, which is just an identity mapping
  cut -d' ' -f2- $srcdir/text | tr ' ' '
  ' | sort -u | sed '/^$/d' > $dir/phones.txt
  paste $dir/phones.txt $dir/phones.txt > $dir/lexicon.txt || exit 1;
  grep -v -F -f $dir/silence_phones.txt $dir/phones.txt > $dir/nonsilence_phones.txt 
  
  # A few extra questions that will be added to those obtained by automatically clustering
  # the "real" phones.  These ask about stress; there's also one for silence.
  cat $dir/silence_phones.txt| awk '{printf("%s ", $1);} END{printf "
  ";}' > $dir/extra_questions.txt || exit 1;
  cat $dir/nonsilence_phones.txt | perl -e 'while(<>){ foreach $p (split(" ", $_)) {
    $p =~ m:^([^\d]+)(\d*)$: || die "Bad phone $_"; $q{$2} .= "$p "; } } foreach $l (values %q) {print "$l
  ";}' \
   >> $dir/extra_questions.txt || exit 1;
  
  # (2) Create the phone bigram LM
  if [ -z $IRSTLM ] ; then
    export IRSTLM=$KALDI_ROOT/tools/irstlm/
  fi
  export PATH=${PATH}:$IRSTLM/bin
  if ! command -v prune-lm >/dev/null 2>&1 ; then
    echo "$0: Error: the IRSTLM is not available or compiled" >&2
    echo "$0: Error: We used to install it by default, but." >&2
    echo "$0: Error: this is no longer the case." >&2
    echo "$0: Error: To install it, go to $KALDI_ROOT/tools" >&2
    echo "$0: Error: and run extras/install_irstlm.sh" >&2
    exit 1
  fi
  
  cut -d' ' -f2- $srcdir/text | sed -e 's:^:<s> :' -e 's:$: </s>:' \
    > $srcdir/lm_train
  
  build-lm.sh -i $srcdir/lm_train -n 2 \
    -o $tmpdir/lm_phone_bg.ilm.gz
  
  compile-lm $tmpdir/lm_phone_bg.ilm.gz -t=yes /dev/stdout | \
    grep -v unk | gzip -c > $lmdir/lm_phone_bg.arpa.gz 
  
  
  echo "Dictionary & language model preparation succeeded"