add ds2

examples/aishell/asr0/local/test.sh

@@ -5,6 +5,8 @@ if [ $# != 4 ];then
     exit -1
 fi
 
+stage=0
+stop_stage=100
 ngpu=$(echo $CUDA_VISIBLE_DEVICES | awk -F "," '{print NF}')
 echo "using $ngpu gpus..."
 
@@ -19,18 +21,45 @@ if [ $? -ne 0 ]; then
    exit 1
 fi
 
-python3 -u ${BIN_DIR}/test.py \
---ngpu ${ngpu} \
---config ${config_path} \
---decode_cfg ${decode_config_path} \
---result_file ${ckpt_prefix}.rsl \
---checkpoint_path ${ckpt_prefix} \
---model_type ${model_type}
+if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then
+    # format the reference test file
+    python utils/format_rsl.py \
+        --origin_ref data/manifest.test.raw \
+        --trans_ref data/manifest.test.text
 
-if [ $? -ne 0 ]; then
-    echo "Failed in evaluation!"
-    exit 1
+    python3 -u ${BIN_DIR}/test.py \
+    --ngpu ${ngpu} \
+    --config ${config_path} \
+    --decode_cfg ${decode_config_path} \
+    --result_file ${ckpt_prefix}.rsl \
+    --checkpoint_path ${ckpt_prefix} \
+    --model_type ${model_type}
+
+    if [ $? -ne 0 ]; then
+        echo "Failed in evaluation!"
+        exit 1
+    fi
+
+    # format the hyp file
+    python utils/format_rsl.py \
+        --origin_hyp ${ckpt_prefix}.rsl \
+        --trans_hyp ${ckpt_prefix}.rsl.text
+
+    python utils/compute-wer.py --char=1 --v=1 \
+        data/manifest.test.text ${ckpt_prefix}.rsl.text > ${ckpt_prefix}.error 
 fi
 
+if [ ${stage} -le 101 ] && [ ${stop_stage} -ge 101 ]; then
+    python utils/format_rsl.py \
+        --origin_ref data/manifest.test.raw \
+        --trans_ref_sclite data/manifest.test.text.sclite
+
+        python utils/format_rsl.py \
+            --origin_hyp ${ckpt_prefix}.rsl \
+            --trans_hyp_sclite ${ckpt_prefix}.rsl.text.sclite
+
+        mkdir -p ${ckpt_prefix}_sclite
+        sclite -i wsj -r data/manifest.test.text.sclite -h  ${ckpt_prefix}.rsl.text.sclite  -e utf-8 -o all -O ${ckpt_prefix}_sclite -c NOASCII
+fi
 
 exit 0

paddlespeech/s2t/exps/deepspeech2/model.py

@@ -278,7 +278,7 @@ class DeepSpeech2Tester(DeepSpeech2Trainer):
             len_refs += len_ref
             num_ins += 1
             if fout:
-                fout.write({"utt": utt, "ref": target, "hyp": result})
+                fout.write({"utt": utt, "refs": [target], "hyps": [result]})
             logger.info(f"Utt: {utt}")
             logger.info(f"Ref: {target}")
             logger.info(f"Hyp: {result}")