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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 [ ! -d ../paddle_asr_model ]; then
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wget -c https://paddlespeech.bj.bcebos.com/s2t/paddle_asr_online/paddle_asr_model.tar.gz
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tar xzfv paddle_asr_model.tar.gz
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mv ./paddle_asr_model ../
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# produce wav scp
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echo "utt1 " $PWD/../paddle_asr_model/BAC009S0764W0290.wav > ../paddle_asr_model/wav.scp
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fi
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model_dir=../paddle_asr_model
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feat_wspecifier=./feats.ark
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cmvn=./cmvn.ark
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export GLOG_logtostderr=1
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# 3. gen linear feat
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linear_spectrogram_main \
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--wav_rspecifier=scp:$model_dir/wav.scp \
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--feature_wspecifier=ark,t:$feat_wspecifier \
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--cmvn_write_path=$cmvn
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# 4. run decoder
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offline_decoder_main \
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--feature_respecifier=ark:$feat_wspecifier \
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--model_path=$model_dir/avg_1.jit.pdmodel \
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--param_path=$model_dir/avg_1.jit.pdparams \
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--dict_file=$model_dir/vocab.txt \
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--lm_path=$model_dir/avg_1.jit.klm
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