Merge pull request #1673 from Jackwaterveg/CER

[asr] Add new cer tools

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

examples/aishell/asr1/local/test.sh

@@ -5,6 +5,8 @@ if [ $# != 3 ];then
     exit -1
 fi
 
+stage=0
+stop_stage=100
 ngpu=$(echo $CUDA_VISIBLE_DEVICES | awk -F "," '{print NF}')
 echo "using $ngpu gpus..."
 
@@ -24,49 +26,86 @@ fi
 #fi
 
 
-for type in attention ctc_greedy_search; do
-    echo "decoding ${type}"
-    if [ ${chunk_mode} == true ];then
-        # stream decoding only support batchsize=1
+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
+
+    for type in attention ctc_greedy_search; do
+        echo "decoding ${type}"
+        if [ ${chunk_mode} == true ];then
+            # stream decoding only support batchsize=1
+            batch_size=1
+        else
+            batch_size=64
+        fi
+        output_dir=${ckpt_prefix}
+        mkdir -p ${output_dir}
+        python3 -u ${BIN_DIR}/test.py \
+        --ngpu ${ngpu} \
+        --config ${config_path} \
+        --decode_cfg ${decode_config_path} \
+        --result_file ${output_dir}/${type}.rsl \
+        --checkpoint_path ${ckpt_prefix} \
+        --opts decode.decoding_method ${type} \
+        --opts decode.decode_batch_size ${batch_size}
+
+        if [ $? -ne 0 ]; then
+            echo "Failed in evaluation!"
+            exit 1
+
+        fi
+        # format the hyp file
+        python utils/format_rsl.py \
+            --origin_hyp ${output_dir}/${type}.rsl \
+            --trans_hyp ${output_dir}/${type}.rsl.text
+        python utils/compute-wer.py --char=1 --v=1 \
+            data/manifest.test.text ${output_dir}/${type}.rsl.text > ${output_dir}/${type}.error 
+
+    done
+
+    for type in ctc_prefix_beam_search attention_rescoring; do
+        echo "decoding ${type}"
         batch_size=1
-    else
-        batch_size=64
-    fi
-    output_dir=${ckpt_prefix}
-    mkdir -p ${output_dir}
-    python3 -u ${BIN_DIR}/test.py \
-    --ngpu ${ngpu} \
-    --config ${config_path} \
-    --decode_cfg ${decode_config_path} \
-    --result_file ${output_dir}/${type}.rsl \
-    --checkpoint_path ${ckpt_prefix} \
-    --opts decode.decoding_method ${type} \
-    --opts decode.decode_batch_size ${batch_size}
-
-    if [ $? -ne 0 ]; then
-        echo "Failed in evaluation!"
-        exit 1
-    fi
-done
-
-for type in ctc_prefix_beam_search attention_rescoring; do
-    echo "decoding ${type}"
-    batch_size=1
+        output_dir=${ckpt_prefix}
+        mkdir -p ${output_dir}
+        python3 -u ${BIN_DIR}/test.py \
+        --ngpu ${ngpu} \
+        --config ${config_path} \
+        --decode_cfg ${decode_config_path} \
+        --result_file ${output_dir}/${type}.rsl \
+        --checkpoint_path ${ckpt_prefix} \
+        --opts decode.decoding_method ${type} \
+        --opts decode.decode_batch_size ${batch_size}
+
+        if [ $? -ne 0 ]; then
+            echo "Failed in evaluation!"
+            exit 1
+        fi
+        python utils/format_rsl.py \
+            --origin_hyp ${output_dir}/${type}.rsl
+            --trans_hyp ${output_dir}/${type}.rsl.text
+        python utils/compute-wer.py --char=1 --v=1 \
+            data/manifest.test.text ${output_dir}/${type}.rsl.text > ${output_dir}/${type}.error 
+    done
+fi
+
+if [ ${stage} -le 101 ] && [ ${stop_stage} -ge 101 ]; then
+    # format the reference test file for sclite
+    python utils/format_rsl.py \
+        --origin_ref data/manifest.test.raw \
+        --trans_ref_sclite data/manifest.test.text.sclite
+    
     output_dir=${ckpt_prefix}
-    mkdir -p ${output_dir}
-    python3 -u ${BIN_DIR}/test.py \
-    --ngpu ${ngpu} \
-    --config ${config_path} \
-    --decode_cfg ${decode_config_path} \
-    --result_file ${output_dir}/${type}.rsl \
-    --checkpoint_path ${ckpt_prefix} \
-    --opts decode.decoding_method ${type} \
-    --opts decode.decode_batch_size ${batch_size}
-
-    if [ $? -ne 0 ]; then
-        echo "Failed in evaluation!"
-        exit 1
-    fi
-done
+    for type in attention ctc_greedy_search ctc_prefix_beam_search attention_rescoring; do
+        python utils/format_rsl.py \
+            --origin_hyp ${output_dir}/${type}.rsl
+            --trans_hyp_sclite ${output_dir}/${type}.rsl.text.sclite
+
+        mkdir -p ${output_dir}/${type}_sclite
+        sclite -i wsj -r data/manifest.test.text.sclite -h  ${output_dir}/${type}.rsl.text.sclite  -e utf-8 -o all -O ${output_dir}/${type}_sclite -c NOASCII
+    done
+fi
 
 exit 0

examples/aishell/asr1/run.sh

@@ -7,7 +7,7 @@ stage=0
 stop_stage=50
 conf_path=conf/conformer.yaml
 decode_conf_path=conf/tuning/decode.yaml
-avg_num=20
+avg_num=30
 audio_file=data/demo_01_03.wav
 
 source ${MAIN_ROOT}/utils/parse_options.sh || exit 1;

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}")

utils/format_rsl.py

@@ -0,0 +1,90 @@
+import os
+import argparse
+import jsonlines
+
+
+def trans_hyp(origin_hyp,
+             trans_hyp = None, 
+             trans_hyp_sclite = None):
+    """
+    Args:
+        origin_hyp: The input json file which contains the model output
+        trans_hyp: The output file for caculate CER/WER
+        trans_hyp_sclite: The output file for caculate CER/WER using sclite
+    """
+    input_dict = {}
+
+    with open(origin_hyp, "r+", encoding="utf8") as f:
+        for item in jsonlines.Reader(f):
+            input_dict[item["utt"]] = item["hyps"][0]
+    if trans_hyp is not None:   
+        with open(trans_hyp, "w+", encoding="utf8") as f:
+            for key in input_dict.keys():
+                f.write(key + " " + input_dict[key] + "\n")
+    if trans_hyp_sclite is not None: 
+        with open(trans_hyp_sclite, "w+") as f:
+            for key in input_dict.keys():
+                line = input_dict[key] + "(" + key + ".wav" +")" + "\n"
+                f.write(line)
+
+def trans_ref(origin_ref,
+                trans_ref = None, 
+                trans_ref_sclite = None):
+    """
+    Args:
+        origin_hyp: The input json file which contains the model output
+        trans_hyp: The output file for caculate CER/WER
+        trans_hyp_sclite: The output file for caculate CER/WER using sclite
+    """
+    input_dict = {}
+
+    with open(origin_ref, "r", encoding="utf8") as f:
+        for item in jsonlines.Reader(f):
+            input_dict[item["utt"]] = item["text"]
+    if trans_ref is not None:
+        with open(trans_ref, "w", encoding="utf8") as f:
+            for key in input_dict.keys():
+                f.write(key + " " + input_dict[key] + "\n")
+
+    if trans_ref_sclite is not None:
+        with open(trans_ref_sclite, "w") as f:
+            for key in input_dict.keys():
+                line = input_dict[key] + "(" + key + ".wav" +")" + "\n"
+                f.write(line)
+
+
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser(prog='format hyp file for compute CER/WER', add_help=True)
+    parser.add_argument(
+        '--origin_hyp',
+        type=str,
+        default = None,
+        help='origin hyp file')
+    parser.add_argument(
+        '--trans_hyp', type=str, default = None, help='hyp file for caculating CER/WER')
+    parser.add_argument(
+        '--trans_hyp_sclite', type=str,  default = None, help='hyp file for caculating CER/WER by sclite')
+
+    parser.add_argument(
+        '--origin_ref',
+        type=str,
+        default = None,
+        help='origin ref file')
+    parser.add_argument(
+        '--trans_ref', type=str, default = None, help='ref file for caculating CER/WER')
+    parser.add_argument(
+        '--trans_ref_sclite', type=str,  default = None, help='ref file for caculating CER/WER by sclite')
+    parser_args = parser.parse_args()
+
+    if parser_args.origin_hyp is not None:
+        trans_hyp(
+            origin_hyp = parser_args.origin_hyp,
+            trans_hyp = parser_args.trans_hyp,
+            trans_hyp_sclite = parser_args.trans_hyp_sclite, )
+
+    if parser_args.origin_ref is not None:
+        trans_ref(
+            origin_ref = parser_args.origin_ref,
+            trans_ref = parser_args.trans_ref,
+            trans_ref_sclite = parser_args.trans_ref_sclite, )