#!/usr/bin/env bash

# Switchboard-1 training data preparation customized for Edinburgh
# Author:  Arnab Ghoshal (Jan 2013)

# To be run from one directory above this script.

## The input is some directory containing the switchboard-1 release 2
## corpus (LDC97S62).  Note: we don't make many assumptions about how
## you unpacked this.  We are just doing a "find" command to locate
## the .sph files.

## The second input is optional, which should point to a directory containing
## Switchboard transcriptions/documentations (specifically, the conv.tab file).
## If specified, the script will try to use the actual speaker PINs provided
## with the corpus instead of the conversation side ID (Kaldi default). We
## will be using "find" to locate this file so we don't make any assumptions
## on the directory structure. (Peng Qi, Aug 2014)

. ./path.sh

#check existing directories
if [ $# != 1 -a $# != 2 ]; then
  echo "Usage: swbd1_data_prep.sh /path/to/SWBD [/path/to/SWBD_DOC]"
  exit 1;
fi

SWBD_DIR=$1

dir=data/local/train
mkdir -p $dir


# Audio data directory check
if [ ! -d $SWBD_DIR ]; then
  echo "Error: run.sh requires a directory argument"
  exit 1;
fi

# Option A: SWBD dictionary file check
[ ! -f $dir/swb_ms98_transcriptions/sw-ms98-dict.text ] && \
  echo  "SWBD dictionary file does not exist" &&  exit 1;

# find sph audio files
find -L $SWBD_DIR -iname '*.sph' | sort > $dir/sph.flist

n=`cat $dir/sph.flist | wc -l`
[ $n -ne 2435 ] && [ $n -ne 2438 ] && \
  echo Warning: expected 2435 or 2438 data data files, found $n


# (1a) Transcriptions preparation
# make basic transcription file (add segments info)
awk '{
       name=substr($1,1,6); gsub("^sw","sw0",name); side=substr($1,7,1);
       stime=$2; etime=$3;
       printf("%s-%s_%06.0f-%06.0f",
              name, side, int(100*stime+0.5), int(100*etime+0.5));
       for(i=4;i<=NF;i++) printf(" %s", $i); printf "\n"
}' $dir/swb_ms98_transcriptions/*/*/*-trans.text  > $dir/transcripts1.txt

# test if trans. file is sorted
export LC_ALL=C;
sort -c $dir/transcripts1.txt || exit 1; # check it's sorted.

# Remove SILENCE, <B_ASIDE> and <E_ASIDE>.

# Note: we have [NOISE], [VOCALIZED-NOISE], [LAUGHTER], [SILENCE].
# removing [SILENCE], and the <B_ASIDE> and <E_ASIDE> markers that mark
# speech to somone; we will give phones to the other three (NSN, SPN, LAU).
# There will also be a silence phone, SIL.
# **NOTE: modified the pattern matches to make them case insensitive
cat $dir/transcripts1.txt \
  | perl -ane 's:\s\[SILENCE\](\s|$):$1:gi;
               s/<B_ASIDE>//gi;
               s/<E_ASIDE>//gi;
               print;' \
  | awk '{if(NF > 1) { print; } } ' > $dir/transcripts2.txt

# **NOTE: swbd1_map_words.pl has been modified to make the pattern matches
# case insensitive
local/swbd1_map_words.pl -f 2- $dir/transcripts2.txt  > $dir/text

# format acronyms in text
python3 local/map_acronyms_transcripts.py -i $dir/text -o $dir/text_map \
  -M data/local/dict_nosp/acronyms.map
mv $dir/text_map $dir/text

# (1c) Make segment files from transcript
#segments file format is: utt-id side-id start-time end-time, e.g.:
#sw02001-A_000098-001156 sw02001-A 0.98 11.56
awk '{
       segment=$1;
       split(segment,S,"[_-]");
       side=S[2]; audioname=S[1]; startf=S[3]; endf=S[4];
       print segment " " audioname "-" side " " startf/100 " " endf/100
}' < $dir/text > $dir/segments

sed -e 's?.*/??' -e 's?.sph??' $dir/sph.flist | paste - $dir/sph.flist \
  > $dir/sph.scp

# side A - channel 1, side B - channel 2
bash tools/sph2wav.sh --nj 16 $dir/sph.scp $dir/segments $dir/wav.scp

# this file reco2file_and_channel maps recording-id (e.g. sw02001-A)
# to the file name sw02001 and the A, e.g.
# sw02001-A  sw02001 A
# In this case it's trivial, but in other corpora the information might
# be less obvious.  Later it will be needed for ctm scoring.
awk '{print $1}' $dir/wav_ori.scp \
  | perl -ane '$_ =~ m:^(\S+)-([AB])$: || die "bad label $_";
               print "$1-$2 $1 $2\n"; ' \
  > $dir/reco2file_and_channel || exit 1;

awk '{spk=substr($1,1,9); print $1 " " spk}' $dir/segments > $dir/utt2spk \
  || exit 1;
sort -k 2 $dir/utt2spk | tools/utt2spk_to_spk2utt.pl > $dir/spk2utt || exit 1;

# We assume each conversation side is a separate speaker. This is a very
# reasonable assumption for Switchboard. The actual speaker info file is at:
# http://www.ldc.upenn.edu/Catalog/desc/addenda/swb-multi-annot.summary

# Copy stuff into its final locations [this has been moved from the format_data
# script]
mkdir -p data/train
for f in spk2utt utt2spk wav.scp text; do
  cp data/local/train/$f data/train/$f || exit 1;
done

if [ $# == 2 ]; then # fix speaker IDs
  find $2 -name conv.tab > $dir/conv.tab
  local/swbd1_fix_speakerid.pl `cat $dir/conv.tab` data/train
  tools/utt2spk_to_spk2utt.pl data/train/utt2spk.new > data/train/spk2utt.new
  # patch files
  for f in spk2utt utt2spk text segments; do
    cp data/train/$f data/train/$f.old || exit 1;
    cp data/train/$f.new data/train/$f || exit 1;
  done
  rm $dir/conv.tab
fi

echo Switchboard-1 data preparation succeeded.

utils/fix_data_dir.sh data/train
