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PaddleSpeech
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add opt in script,test=doc

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pull/2014/head
Yang Zhou 3 years ago
parent 2296e01535
commit 633d512643
2 changed files with 18 additions and 2 deletions
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8
speechx/examples/ds2_ol/aishell/run.sh
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@ -89,6 +89,7 @@ if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then
--model_path=$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
@ -96,6 +97,7 @@ if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then
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
@ -106,6 +108,7 @@ if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ]; then
--model_path=$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
@ -114,6 +117,7 @@ if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ]; then
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/
@ -138,6 +142,7 @@ if [ ${stage} -le 4 ] && [ ${stop_stage} -ge 4 ]; then
--word_symbol_table=$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
@ -145,6 +150,7 @@ if [ ${stage} -le 4 ] && [ ${stop_stage} -ge 4 ]; then
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
@ -156,6 +162,7 @@ if [ ${stage} -le 5 ] && [ ${stop_stage} -ge 5 ]; then
--model_path=$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 \
@ -165,4 +172,5 @@ if [ ${stage} -le 5 ] && [ ${stop_stage} -ge 5 ]; then
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

12
speechx/examples/ds2_ol/aishell/run_fbank.sh
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@ -90,11 +90,13 @@ if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then
--param_path=$model_dir/avg_5.jit.pdiparams \
--model_output_names=softmax_0.tmp_0,tmp_5,concat_0.tmp_0,concat_1.tmp_0 \
--model_cache_shapes="5-1-2048,5-1-2048" \
--nnet_decoder_chunk=8 \
--dict_file=$vocb_dir/vocab.txt \
--result_wspecifier=ark,t:$data/split${nj}/JOB/result_fbank
cat $data/split${nj}/*/result_fbank > $exp/${label_file}
utils/compute-wer.py --char=1 --v=1 $text $exp/${label_file} > $exp/${wer}
tail -n 7 $exp/${wer}
fi
if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ]; then
@ -105,13 +107,15 @@ if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ]; then
--model_path=$model_dir/avg_5.jit.pdmodel \
--param_path=$model_dir/avg_5.jit.pdiparams \
--model_output_names=softmax_0.tmp_0,tmp_5,concat_0.tmp_0,concat_1.tmp_0 \
--model_cache_shapes="5-1-2048,5-1-2048" \
--model_cache_shapes="5-1-2048,5-1-2048" \
--nnet_decoder_chunk=8 \
--dict_file=$vocb_dir/vocab.txt \
--lm_path=$lm \
--result_wspecifier=ark,t:$data/split${nj}/JOB/fbank_result_lm
cat $data/split${nj}/*/fbank_result_lm > $exp/${label_file}_lm
utils/compute-wer.py --char=1 --v=1 $text $exp/${label_file}_lm > $exp/${wer}.lm
tail -n 7 $exp/${wer}.lm
fi
wfst=$data/wfst_fbank/
@ -135,7 +139,8 @@ if [ ${stage} -le 4 ] && [ ${stop_stage} -ge 4 ]; then
--param_path=$model_dir/avg_5.jit.pdiparams \
--word_symbol_table=$wfst/words.txt \
--model_output_names=softmax_0.tmp_0,tmp_5,concat_0.tmp_0,concat_1.tmp_0 \
--model_cache_shapes="5-1-2048,5-1-2048" \
--model_cache_shapes="5-1-2048,5-1-2048" \
--nnet_decoder_chunk=8 \
--graph_path=$wfst/TLG.fst --max_active=7500 \
--acoustic_scale=1.2 \
--result_wspecifier=ark,t:$data/split${nj}/JOB/result_tlg
@ -144,6 +149,7 @@ if [ ${stage} -le 4 ] && [ ${stop_stage} -ge 4 ]; then
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
@ -157,6 +163,7 @@ if [ ${stage} -le 5 ] && [ ${stop_stage} -ge 5 ]; then
--word_symbol_table=$wfst/words.txt \
--model_output_names=softmax_0.tmp_0,tmp_5,concat_0.tmp_0,concat_1.tmp_0 \
--model_cache_shapes="5-1-2048,5-1-2048" \
--nnet_decoder_chunk=8 \
--graph_path=$wfst/TLG.fst --max_active=7500 \
--acoustic_scale=1.2 \
--result_wspecifier=ark,t:$data/split${nj}/JOB/result_fbank_recognizer
@ -165,4 +172,5 @@ if [ ${stage} -le 5 ] && [ ${stop_stage} -ge 5 ]; then
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

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