add files

funasr_local/runtime/python/utils/test_cer.sh

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+
+split_scps_tool=split_scp.pl
+inference_tool=test_cer.py
+proce_text_tool=proce_text.py
+compute_wer_tool=compute_wer.py
+
+nj=32
+stage=0
+stop_stage=2
+
+scp="/nfs/haoneng.lhn/funasr_data/aishell-1/data/test/wav.scp"
+label_text="/nfs/haoneng.lhn/funasr_data/aishell-1/data/test/text"
+export_root="/nfs/zhifu.gzf/export"
+
+
+#:<<!
+model_name="damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch"
+backend="onnx" # "torch"
+quantize='true' # 'False'
+fallback_op_num_torch=20
+tag=${model_name}/${backend}_quantize_${quantize}_${fallback_op_num_torch}
+!
+
+output_dir=${export_root}/logs/${tag}/split$nj
+mkdir -p ${output_dir}
+echo ${output_dir}
+
+
+if [ $stage -le 0 ] && [ $stop_stage -ge 0 ];then
+
+    python -m funasr.export.export_model --model-name ${model_name} --export-dir ${export_root} --type ${backend} --quantize ${quantize} --audio_in ${scp} --fallback-num ${fallback_op_num_torch}
+
+fi
+
+
+if [ $stage -le 1 ] && [ $stop_stage -ge 1 ];then
+
+  model_dir=${export_root}/${model_name}
+  split_scps=""
+  for JOB in $(seq ${nj}); do
+      split_scps="$split_scps $output_dir/wav.$JOB.scp"
+  done
+
+  perl ${split_scps_tool} $scp ${split_scps}
+
+
+  for JOB in $(seq ${nj}); do
+    {
+      core_id=`expr $JOB - 1`
+      taskset -c ${core_id} python ${inference_tool} --backend ${backend} --model_dir ${model_dir} --wav_file ${output_dir}/wav.$JOB.scp --quantize ${quantize} --output_dir ${output_dir}/${JOB} &> ${output_dir}/log.$JOB.txt
+    }&
+
+  done
+  wait
+
+  mkdir -p ${output_dir}/1best_recog
+  for f in token text; do
+      if [ -f "${output_dir}/1/${f}" ]; then
+        for JOB in $(seq "${nj}"); do
+            cat "${output_dir}/${JOB}/${f}"
+        done | sort -k1 >"${output_dir}/1best_recog/${f}"
+      fi
+  done
+
+fi
+
+if [ $stage -le 2 ] && [ $stop_stage -ge 2 ];then
+    echo "Computing WER ..."
+    python ${proce_text_tool} ${output_dir}/1best_recog/text ${output_dir}/1best_recog/text.proc
+    python ${proce_text_tool} ${label_text} ${output_dir}/1best_recog/text.ref
+    python ${compute_wer_tool} ${output_dir}/1best_recog/text.ref ${output_dir}/1best_recog/text.proc ${output_dir}/1best_recog/text.cer
+    tail -n 3 ${output_dir}/1best_recog/text.cer
+fi
+