wsj_format_data.sh
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#!/bin/bash
###########################################################################################
# This script was copied from egs/wsj/s5/local/wsj_format_data.sh
# The source commit was e69198c3dc5633f98eb88e1cdf20b2521a598f21
# Changes made:
# - Modified paths to match multi_en naming conventions
# - Removed code related to LM creation
# - Only prepared data/wsj/train_si284 (no test sets)
###########################################################################################
# Copyright 2012 Microsoft Corporation Johns Hopkins University (Author: Daniel Povey)
# 2015 Guoguo Chen
# Apache 2.0
# This script takes data prepared in a corpus-dependent way
# in data/local/, and converts it into the "canonical" form,
# in various subdirectories of data/, e.g. data/lang, data/lang_test_ug,
# data/train_si284, data/train_si84, etc.
# Don't bother doing train_si84 separately (although we have the file lists
# in data/local/) because it's just the first 7138 utterances in train_si284.
# We'll create train_si84 after doing the feature extraction.
lang_suffix=
echo "$0 $@" # Print the command line for logging
. utils/parse_options.sh || exit 1;
. ./path.sh || exit 1;
echo "Preparing train and test data"
srcdir=data/local/wsj/data
lmdir=data/local/wsj/nist_lm
tmpdir=data/local/wsj/lm_tmp
lexicon=data/local/wsj/lang${lang_suffix}_tmp/lexiconp.txt
mkdir -p $tmpdir
#for x in train_si284 test_eval92 test_eval93 test_dev93 test_eval92_5k test_eval93_5k test_dev93_5k dev_dt_05 dev_dt_20; do
for x in train_si284; do
mkdir -p data/wsj/$x
cp $srcdir/${x}_wav.scp data/wsj/$x/wav.scp || exit 1;
cp $srcdir/$x.txt data/wsj/$x/text || exit 1;
cp $srcdir/$x.spk2utt data/wsj/$x/spk2utt || exit 1;
cp $srcdir/$x.utt2spk data/wsj/$x/utt2spk || exit 1;
utils/filter_scp.pl data/wsj/$x/spk2utt $srcdir/spk2gender > data/wsj/$x/spk2gender || exit 1;
done
# Removed LM-related stuff
echo "Succeeded in formatting data."
rm -r $tmpdir