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PaddleSpeech/speechx/examples/ds2_ol/feat/run.sh

58 lines
1.2 KiB

#!/bin/bash
set +x
set -e
. ./path.sh
# 1. compile
if [ ! -d ${SPEECHX_EXAMPLES} ]; then
pushd ${SPEECHX_ROOT}
bash build.sh
popd
fi
# 2. download model
if [ ! -e data/model/asr0_deepspeech2_online_aishell_ckpt_0.2.0.model.tar.gz ]; then
mkdir -p data/model
pushd data/model
wget -c https://paddlespeech.bj.bcebos.com/s2t/aishell/asr0/asr0_deepspeech2_online_aishell_ckpt_0.2.0.model.tar.gz
tar xzfv asr0_deepspeech2_online_aishell_ckpt_0.2.0.model.tar.gz
popd
fi
# produce wav scp
if [ ! -f data/wav.scp ]; then
mkdir -p data
pushd data
wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav
echo "utt1 " $PWD/zh.wav > wav.scp
popd
fi
# input
data_dir=./data
exp_dir=./exp
model_dir=$data_dir/model/
mkdir -p $exp_dir
# 3. run feat
export GLOG_logtostderr=1
cmvn-json2kaldi \
--json_file $model_dir/data/mean_std.json \
--cmvn_write_path $exp_dir/cmvn.ark \
--binary=false
echo "convert json cmvn to kaldi ark."
linear-spectrogram-wo-db-norm-ol \
--wav_rspecifier=scp:$data_dir/wav.scp \
--feature_wspecifier=ark,t:$exp_dir/feats.ark \
--cmvn_file=$exp_dir/cmvn.ark
echo "compute linear spectrogram feature."