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egs/aishell2/s5/local/prepare_all.sh
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#!/bin/bash
# Copyright 2018 AIShell-Foundation(Authors:Jiayu DU, Xingyu NA, Bengu WU, Hao ZHENG)
# 2018 Beijing Shell Shell Tech. Co. Ltd. (Author: Hui BU)
# 2018 Emotech LTD (Author: Xuechen LIU)
# Apache 2.0
trn_set=
dev_set=
tst_set=
stage=1
. ./cmd.sh
. ./path.sh
. ./utils/parse_options.sh
if [ $# -ne 3 ]; then
echo "prepare_all.sh <corpus-train-dir> <corpus-dev-dir> <corpus-test-dir>"
echo " e.g prepare_all.sh /data/AISHELL-2/iOS/train /data/AISHELL-2/iOS/dev /data/AISHELL-2/iOS/test"
exit 1;
fi
trn_set=$1
dev_set=$2
tst_set=$3
# download DaCiDian raw resources, convert to Kaldi lexicon format
if [ $stage -le 1 ]; then
local/prepare_dict.sh data/local/dict || exit 1;
fi
# wav.scp, text(word-segmented), utt2spk, spk2utt
if [ $stage -le 2 ]; then
local/prepare_data.sh ${trn_set} data/local/dict data/local/train data/train || exit 1;
local/prepare_data.sh ${dev_set} data/local/dict data/local/dev data/dev || exit 1;
local/prepare_data.sh ${tst_set} data/local/dict data/local/test data/test || exit 1;
fi
# L
if [ $stage -le 3 ]; then
utils/prepare_lang.sh --position-dependent-phones false \
data/local/dict "<UNK>" data/local/lang data/lang || exit 1;
fi
# arpa LM
if [ $stage -le 4 ]; then
local/train_lms.sh \
data/local/dict/lexicon.txt \
data/local/train/text \
data/local/lm || exit 1;
fi
# G compilation, check LG composition
if [ $stage -le 5 ]; then
utils/format_lm.sh data/lang data/local/lm/3gram-mincount/lm_unpruned.gz \
data/local/dict/lexicon.txt data/lang_test || exit 1;
fi
echo "local/prepare_all.sh succeeded"
exit 0;
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