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egs/spanish_dimex100/s5/local/data_prep.sh
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#!/bin/bash
## Only run this file from the example root directory
## $ ./local/data_prep.sh
mkdir -p "data/train" "data/test" "data/local"
source ./path.sh
# Dimex100 unziped corpus root directory
CORPUS_DIR="$1"
# Corpus data
#
# Number of Different speakers: 100
# Speakers common utterances: 10
# Speakers individual utterances: 50
#
# Training/testing split
#
# Common utterances for training: 10 (100%)
# Individual utterances for training: 40 (80%)
# Individual utterances for testing: 10 (20%)
N_SPEAKERS=100
N_COMMON_UTTERANCES=10
N_INDIVIDUAL_UTTERANCES=50
N_INDIVIDUAL_UTTERANCES_TRAINING=40
N_INDIVIDUAL_UTTERANCES_TESTING=10
# speakerId-utteranceId-[c|i]
# c = speaker common utterances (10)
# i = speaker individual utterances (50)
#
# e.g.:
# s001-01-c
# ...
# s001-10-c
# ...
# s001-01-i
# ...
# s001-50-i
## 80-20 train-test split
## Only individual utterances are used in testing
# 10/10 common utterances go into training
# 40/50 individual utterances go into training
# 10/50 individual utterances go into testing
function make_speaker_id
{
printf "s%03d" "$1"
}
function make_sentence_id
{
printf "%02d" "$1"
}
#####################################
# Convert wave audio to 16-bit, 16kHz
#####################################
function convert_to_16khz
{
for i in $(seq 1 $N_SPEAKERS); do
speaker_id=$(make_speaker_id $i)
mkdir -p "$CORPUS_DIR/$speaker_id/audio_16k/comunes"
mkdir -p "$CORPUS_DIR/$speaker_id/audio_16k/individuales"
# Common utterances
for j in $(seq 1 $N_COMMON_UTTERANCES); do
sentence_id=$(make_sentence_id $j)
old_wav_file="$CORPUS_DIR/$speaker_id/audio_editado/comunes/$speaker_id$sentence_id.wav"
new_wav_file="$CORPUS_DIR/$speaker_id/audio_16k/comunes/$speaker_id$sentence_id.wav"
sox "$old_wav_file" -r 16k "$new_wav_file"
done
# Individual utterances
for k in $(seq 1 $N_INDIVIDUAL_UTTERANCES_TRAINING); do
sentence_id=$(make_sentence_id $k)
old_wav_file="$CORPUS_DIR/$speaker_id/audio_editado/individuales/$speaker_id$sentence_id.wav"
new_wav_file="$CORPUS_DIR/$speaker_id/audio_16k/individuales/$speaker_id$sentence_id.wav"
sox "$old_wav_file" -r 16k "$new_wav_file"
done
done
}
if [[ ! -d "$CORPUS_DIR/s001/audio_16k" ]]; then
echo
echo Converting audio from 44.1kHz to 16kHz
echo
convert_to_16khz
fi
#################
# data/train/text
# data/test/text
#################
# speakerId-utteranceId-[c|i]
# c = speaker common utterances (10)
# i = speaker individual utterances (50)
#
# e.g.:
# s001-01-c
# ...
# s001-10-c
# ...
# s001-01-i
# ...
# s001-50-i
## 80-20 train-test split
## Only individual utterances are used in testing
# 10/10 common utterances go into training
# 40/50 individual utterances go into training
# 10/50 individual utterances go into testing
function clean
{
echo "$1" \
| tr -d '\r' \
| tr '[:upper:]' '[:lower:]' \
| sed \
-e 's/á/a/g' -e 's/é/e/g' -e 's/í/i/g' -e 's/ó/o/g' -e 's/ú/u/g' \
-e 's/Á/a/g' -e 's/É/e/g' -e 's/Í/i/g' -e 's/Ó/o/g' -e 's/Ú/u/g' \
-e 's/ñ/n/g' -e 's/Ñ/n/g' -e 's/ü/u/g' -e 's/Ü/u/g' \
| tr -d -c "a-zA-Z0-9 \r
"
# | tr -d -c "_,.;:\-?¿!'\"()" \
}
### Generate data/train/text
for i in $(seq 1 $N_SPEAKERS); do
speaker_id=$(make_speaker_id $i)
# Common utterances
for j in $(seq 1 $N_COMMON_UTTERANCES); do
sentence_id=$(make_sentence_id $j)
utterance_id="$speaker_id-$sentence_id-c"
trans_file="$CORPUS_DIR/$speaker_id/texto/comunes/$speaker_id$sentence_id.txt"
iconv -f iso-8859-1 -t utf-8 "$trans_file" > "$trans_file.utf8"
if [ -f "$trans_file.utf8" ]; then
transcription=$(cat "$trans_file.utf8")
transcription=$(clean "$transcription")
echo "$utterance_id $transcription" >> "data/train/text"
fi
done
# Individual utterances
for k in $(seq 1 $N_INDIVIDUAL_UTTERANCES_TRAINING); do
sentence_id=$(make_sentence_id $k)
utterance_id="$speaker_id-$sentence_id-i"
trans_file="$CORPUS_DIR/$speaker_id/texto/individuales/$speaker_id$sentence_id.txt"
iconv -f iso-8859-1 -t utf-8 "$trans_file" > "$trans_file.utf8"
if [ -f "$trans_file.utf8" ]; then
transcription=$(cat "$trans_file.utf8")
transcription=$(clean "$transcription")
echo "$utterance_id $transcription" >> "data/train/text"
fi
done
done
### Generate data/test/text
for i in $(seq 1 $N_SPEAKERS); do
speaker_id=$(make_speaker_id $i)
# Individual utterances
for k in $(seq $N_INDIVIDUAL_UTTERANCES_TRAINING $N_INDIVIDUAL_UTTERANCES); do
sentence_id=$(make_sentence_id $k)
utterance_id="$speaker_id-$sentence_id-i"
trans_file="$CORPUS_DIR/$speaker_id/texto/individuales/$speaker_id$sentence_id.txt"
iconv -f iso-8859-1 -t utf-8 "$trans_file" > "$trans_file.utf8"
if [ -f "$trans_file.utf8" ]; then
transcription=$(cat "$trans_file.utf8")
transcription=$(clean "$transcription")
echo "$utterance_id $transcription" >> "data/test/text"
fi
done
done
####################
# data/train/wav.scp
# data/test/wav.scp
####################
### Generate data/train/wav.scp
for i in $(seq 1 $N_SPEAKERS); do
speaker_id=$(make_speaker_id $i)
# Common utterances
for j in $(seq 1 $N_COMMON_UTTERANCES); do
sentence_id=$(make_sentence_id $j)
utterance_id="$speaker_id-$sentence_id-c"
wav_file="$CORPUS_DIR/$speaker_id/audio_16k/comunes/$speaker_id$sentence_id.wav"
if [ -f "$wav_file" ]; then
echo "$utterance_id $wav_file" >> "data/train/wav.scp"
fi
done
# Individual utterances
for k in $(seq 1 $N_INDIVIDUAL_UTTERANCES_TRAINING); do
sentence_id=$(make_sentence_id $k)
utterance_id="$speaker_id-$sentence_id-i"
wav_file="$CORPUS_DIR/$speaker_id/audio_16k/individuales/$speaker_id$sentence_id.wav"
if [ -f "$wav_file" ]; then
echo "$utterance_id $wav_file" >> "data/train/wav.scp"
fi
done
done
### Generate data/test/wav.scp
for i in $(seq 1 $N_SPEAKERS); do
speaker_id=$(make_speaker_id $i)
# Individual utterances
for k in $(seq $N_INDIVIDUAL_UTTERANCES_TRAINING $N_INDIVIDUAL_UTTERANCES); do
sentence_id=$(make_sentence_id $k)
utterance_id="$speaker_id-$sentence_id-i"
wav_file="$CORPUS_DIR/$speaker_id/audio_16k/individuales/$speaker_id$sentence_id.wav"
if [ -f "$wav_file" ]; then
echo "$utterance_id $wav_file" >> "data/test/wav.scp"
fi
done
done
####################
# data/train/utt2spk
# data/test/utt2spk
####################
# Take IDs from 'text' file to avoid including missing data's IDs
### Generate data/train/utt2spk
utterance_ids=$(cat "data/train/text" | cut -d' ' -f1)
while read -r utterance_id; do
speaker_id=$(echo "$utterance_id" | cut -d'-' -f1)
echo "$utterance_id $speaker_id" >> "data/train/utt2spk"
done <<< "$utterance_ids"
### Generate data/test/utt2spk
utterance_ids=$(cat "data/test/text" | cut -d' ' -f1)
while read -r utterance_id; do
speaker_id=$(echo "$utterance_id" | cut -d'-' -f1)
echo "$utterance_id $speaker_id" >> "data/test/utt2spk"
done <<< "$utterance_ids"
############
# Sort files
############
LC_ALL=C sort -o "data/train/text" "data/train/text"
LC_ALL=C sort -o "data/test/text" "data/test/text"
LC_ALL=C sort -o "data/train/wav.scp" "data/train/wav.scp"
LC_ALL=C sort -o "data/test/wav.scp" "data/test/wav.scp"
LC_ALL=C sort -o "data/train/utt2spk" "data/train/utt2spk"
LC_ALL=C sort -o "data/test/utt2spk" "data/test/utt2spk"
####################
# data/train/spk2utt
# data/test/spk2utt
####################
utils/utt2spk_to_spk2utt.pl "data/train/utt2spk" > "data/train/spk2utt"
utils/utt2spk_to_spk2utt.pl "data/test/utt2spk" > "data/test/spk2utt"
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