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