You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
180 lines
6.2 KiB
180 lines
6.2 KiB
#!/bin/bash
|
|
set -x
|
|
set -e
|
|
|
|
. path.sh
|
|
|
|
nj=40
|
|
stage=0
|
|
stop_stage=100
|
|
|
|
. utils/parse_options.sh
|
|
|
|
# 1. compile
|
|
if [ ! -d ${SPEECHX_BUILD} ]; then
|
|
pushd ${SPEECHX_ROOT}
|
|
bash build.sh
|
|
popd
|
|
fi
|
|
|
|
# input
|
|
mkdir -p data
|
|
data=$PWD/data
|
|
|
|
ckpt_dir=$data/model
|
|
model_dir=$ckpt_dir/exp/deepspeech2_online/checkpoints/
|
|
vocb_dir=$ckpt_dir/data/lang_char/
|
|
|
|
# output
|
|
mkdir -p exp
|
|
exp=$PWD/exp
|
|
|
|
aishell_wav_scp=aishell_test.scp
|
|
if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ];then
|
|
if [ ! -d $data/test ]; then
|
|
# donwload dataset
|
|
pushd $data
|
|
wget -c https://paddlespeech.bj.bcebos.com/s2t/paddle_asr_online/aishell_test.zip
|
|
unzip aishell_test.zip
|
|
popd
|
|
|
|
realpath $data/test/*/*.wav > $data/wavlist
|
|
awk -F '/' '{ print $(NF) }' $data/wavlist | awk -F '.' '{ print $1 }' > $data/utt_id
|
|
paste $data/utt_id $data/wavlist > $data/$aishell_wav_scp
|
|
fi
|
|
|
|
if [ ! -f $ckpt_dir/data/mean_std.json ]; then
|
|
# download model
|
|
mkdir -p $ckpt_dir
|
|
pushd $ckpt_dir
|
|
wget -c https://paddlespeech.bj.bcebos.com/s2t/aishell/asr0/asr0_deepspeech2_online_aishell_ckpt_0.2.0.model.tar.gz
|
|
tar xzfv asr0_deepspeech2_online_aishell_ckpt_0.2.0.model.tar.gz
|
|
popd
|
|
fi
|
|
|
|
lm=$data/zh_giga.no_cna_cmn.prune01244.klm
|
|
if [ ! -f $lm ]; then
|
|
# download kenlm bin
|
|
pushd $data
|
|
wget -c https://deepspeech.bj.bcebos.com/zh_lm/zh_giga.no_cna_cmn.prune01244.klm
|
|
popd
|
|
fi
|
|
fi
|
|
|
|
# 3. make feature
|
|
text=$data/test/text
|
|
label_file=./aishell_result
|
|
wer=./aishell_wer
|
|
|
|
export GLOG_logtostderr=1
|
|
|
|
|
|
cmvn=$data/cmvn.ark
|
|
if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
|
|
# 3. convert cmvn format and compute linear feat
|
|
cmvn_json2kaldi_main --json_file=$ckpt_dir/data/mean_std.json --cmvn_write_path=$cmvn
|
|
|
|
./local/split_data.sh $data $data/$aishell_wav_scp $aishell_wav_scp $nj
|
|
|
|
utils/run.pl JOB=1:$nj $data/split${nj}/JOB/feat.log \
|
|
compute_linear_spectrogram_main \
|
|
--wav_rspecifier=scp:$data/split${nj}/JOB/${aishell_wav_scp} \
|
|
--feature_wspecifier=ark,scp:$data/split${nj}/JOB/feat.ark,$data/split${nj}/JOB/feat.scp \
|
|
--cmvn_file=$cmvn \
|
|
echo "feature make have finished!!!"
|
|
fi
|
|
|
|
if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then
|
|
# decode w/o lm
|
|
utils/run.pl JOB=1:$nj $data/split${nj}/JOB/recog.wolm.log \
|
|
ctc_beam_search_decoder_main \
|
|
--feature_rspecifier=scp:$data/split${nj}/JOB/feat.scp \
|
|
--model_path=$model_dir/avg_1.jit.pdmodel \
|
|
--param_path=$model_dir/avg_1.jit.pdiparams \
|
|
--model_output_names=softmax_0.tmp_0,tmp_5,concat_0.tmp_0,concat_1.tmp_0 \
|
|
--nnet_decoder_chunk=8 \
|
|
--dict_file=$vocb_dir/vocab.txt \
|
|
--result_wspecifier=ark,t:$data/split${nj}/JOB/result
|
|
|
|
cat $data/split${nj}/*/result > $exp/${label_file}
|
|
utils/compute-wer.py --char=1 --v=1 $text $exp/${label_file} > $exp/${wer}
|
|
echo "ctc-prefix-beam-search-decoder-ol without lm has finished!!!"
|
|
echo "please checkout in ${exp}/${wer}"
|
|
tail -n 7 $exp/${wer}
|
|
fi
|
|
|
|
if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ]; then
|
|
# decode w/ ngram lm with feature input
|
|
utils/run.pl JOB=1:$nj $data/split${nj}/JOB/recog.lm.log \
|
|
ctc_beam_search_decoder_main \
|
|
--feature_rspecifier=scp:$data/split${nj}/JOB/feat.scp \
|
|
--model_path=$model_dir/avg_1.jit.pdmodel \
|
|
--param_path=$model_dir/avg_1.jit.pdiparams \
|
|
--model_output_names=softmax_0.tmp_0,tmp_5,concat_0.tmp_0,concat_1.tmp_0 \
|
|
--nnet_decoder_chunk=8 \
|
|
--dict_file=$vocb_dir/vocab.txt \
|
|
--lm_path=$lm \
|
|
--result_wspecifier=ark,t:$data/split${nj}/JOB/result_lm
|
|
|
|
cat $data/split${nj}/*/result_lm > $exp/${label_file}_lm
|
|
utils/compute-wer.py --char=1 --v=1 $text $exp/${label_file}_lm > $exp/${wer}.lm
|
|
echo "ctc-prefix-beam-search-decoder-ol with lm test has finished!!!"
|
|
echo "please checkout in ${exp}/${wer}.lm"
|
|
tail -n 7 $exp/${wer}.lm
|
|
fi
|
|
|
|
wfst=$data/wfst/
|
|
if [ ${stage} -le 4 ] && [ ${stop_stage} -ge 4 ]; then
|
|
mkdir -p $wfst
|
|
if [ ! -f $wfst/aishell_graph.zip ]; then
|
|
# download TLG graph
|
|
pushd $wfst
|
|
wget -c https://paddlespeech.bj.bcebos.com/s2t/paddle_asr_online/aishell_graph.zip
|
|
unzip aishell_graph.zip
|
|
mv aishell_graph/* $wfst
|
|
popd
|
|
fi
|
|
fi
|
|
|
|
if [ ${stage} -le 4 ] && [ ${stop_stage} -ge 4 ]; then
|
|
# decoder w/ TLG graph with feature input
|
|
utils/run.pl JOB=1:$nj $data/split${nj}/JOB/recog.wfst.log \
|
|
ctc_tlg_decoder_main \
|
|
--feature_rspecifier=scp:$data/split${nj}/JOB/feat.scp \
|
|
--model_path=$model_dir/avg_1.jit.pdmodel \
|
|
--param_path=$model_dir/avg_1.jit.pdiparams \
|
|
--word_symbol_table=$wfst/words.txt \
|
|
--model_output_names=softmax_0.tmp_0,tmp_5,concat_0.tmp_0,concat_1.tmp_0 \
|
|
--graph_path=$wfst/TLG.fst --max_active=7500 \
|
|
--nnet_decoder_chunk=8 \
|
|
--acoustic_scale=1.2 \
|
|
--result_wspecifier=ark,t:$data/split${nj}/JOB/result_tlg
|
|
|
|
cat $data/split${nj}/*/result_tlg > $exp/${label_file}_tlg
|
|
utils/compute-wer.py --char=1 --v=1 $text $exp/${label_file}_tlg > $exp/${wer}.tlg
|
|
echo "wfst-decoder-ol have finished!!!"
|
|
echo "please checkout in ${exp}/${wer}.tlg"
|
|
tail -n 7 $exp/${wer}.tlg
|
|
fi
|
|
|
|
if [ ${stage} -le 5 ] && [ ${stop_stage} -ge 5 ]; then
|
|
# recognize from wav file w/ TLG graph
|
|
utils/run.pl JOB=1:$nj $data/split${nj}/JOB/recognizer.log \
|
|
recognizer_main \
|
|
--wav_rspecifier=scp:$data/split${nj}/JOB/${aishell_wav_scp} \
|
|
--cmvn_file=$cmvn \
|
|
--model_path=$model_dir/avg_1.jit.pdmodel \
|
|
--param_path=$model_dir/avg_1.jit.pdiparams \
|
|
--word_symbol_table=$wfst/words.txt \
|
|
--nnet_decoder_chunk=8 \
|
|
--model_output_names=softmax_0.tmp_0,tmp_5,concat_0.tmp_0,concat_1.tmp_0 \
|
|
--graph_path=$wfst/TLG.fst --max_active=7500 \
|
|
--acoustic_scale=1.2 \
|
|
--result_wspecifier=ark,t:$data/split${nj}/JOB/result_recognizer
|
|
|
|
cat $data/split${nj}/*/result_recognizer > $exp/${label_file}_recognizer
|
|
utils/compute-wer.py --char=1 --v=1 $text $exp/${label_file}_recognizer > $exp/${wer}.recognizer
|
|
echo "recognizer test have finished!!!"
|
|
echo "please checkout in ${exp}/${wer}.recognizer"
|
|
tail -n 7 $exp/${wer}.recognizer
|
|
fi |