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egs/vystadial_en/s5/local/data_split.sh
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#!/bin/bash # Copyright (c) 2013, Ondrej Platek, Ufal MFF UK <oplatek@ufal.mff.cuni.cz> # # 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. # # # Makes train/test splits # local/voxforge_data_prep.sh --nspk_test ${nspk_test} ${SELECTED} || exit 1 # create files: (TYPE=train|test) # a) ${TYPE}_trans.txt: ID transcription capitalized! No interputction # b) ${TYPE}_wav.scp: ID path2ID.wav # c) $TYPE.utt2spk: ID-recording ID-speaker # s) $TYPE.spk2utt # e) $TYPE.spk2gender all speakers are male # we have ID-recording = ID-speaker # The vystadial data are specific by having following marks in transcriptions # _INHALE_ # _LAUGH_ # _EHM_HMM_ # _NOISE_ # _EHM_HMM_ # _SIL_ # renice 20 $$ every_n=1 [ -f path.sh ] && . ./path.sh # source the path. . utils/parse_options.sh || exit 1; if [ $# -ne 4 ] ; then echo "Usage: local/data_split.sh [--every-n 30] <data-directory> <local-directory> <LMs> <Test-Sets> <tgt-dir>"; exit 1; fi DATA=$1; shift locdata=$1; shift LMs=$1; shift test_sets=$1; shift tgt_dir=$1; shift echo "LMs $LMs test_sets $test_sets" echo "=== Starting initial Vystadial data preparation ..." echo "--- Making test/train data split from $DATA taking every $every_n recording..." mkdir -p $locdata i=0 for s in $test_sets train ; do mkdir -p $locdata/$s ls $DATA/$s/ | sed -n /.*wav$/p |\ while read wav ; do ((i++)) # bash specific if [[ $i -ge $every_n ]] ; then i=0 pwav=$DATA/$s/$wav trn=`cat $DATA/$s/$wav.trn` echo "$wav $pwav" >> $locdata/$s/wav.scp echo "$wav $wav" >> $locdata/$s/utt2spk echo "$wav $wav" >> $locdata/$s/spk2utt echo "$wav $trn" >> $locdata/$s/trans.txt # Ignoring gender -> label all recordings as male echo "$wav M" >> $locdata/spk2gender fi done # while read wav for f in wav.scp utt2spk spk2utt trans.txt ; do sort "$locdata/$s/$f" -k1 -u -o "$locdata/$s/$f" # sort in place done # for f done # for in $test_sets train echo "Set 1:1 relation for spk2utt: spk in $test_sets AND train, sort in place" sort "$locdata/spk2gender" -k1 -o "$locdata/spk2gender" echo "--- Distributing the file lists to train and ($test_sets x $LMs) directories ..." mkdir -p $WORK/train cp $locdata/train/wav.scp $WORK/train/wav.scp || exit 1; cp $locdata/train/trans.txt $WORK/train/text || exit 1; cp $locdata/train/spk2utt $WORK/train/spk2utt || exit 1; cp $locdata/train/utt2spk $WORK/train/utt2spk || exit 1; utils/filter_scp.pl $WORK/train/spk2utt $locdata/spk2gender > $WORK/train/spk2gender || exit 1; for s in $test_sets ; do for lm in $LMs; do tgt_dir=$WORK/${s}_`basename ${lm}` mkdir -p $tgt_dir cp $locdata/${s}/wav.scp $tgt_dir/wav.scp || exit 1; cp $locdata/${s}/trans.txt $tgt_dir/text || exit 1; cp $locdata/${s}/spk2utt $tgt_dir/spk2utt || exit 1; cp $locdata/${s}/utt2spk $tgt_dir/utt2spk || exit 1; utils/filter_scp.pl $tgt_dir/spk2utt $locdata/spk2gender > $tgt_dir/spk2gender || exit 1; done done |