fix decode json file

deepspeech/exps/deepspeech2/model.py

@@ -18,8 +18,8 @@ from collections import defaultdict
 from contextlib import nullcontext
 from pathlib import Path
 from typing import Optional
-import jsonlines
 
+import jsonlines
 import numpy as np
 import paddle
 from paddle import distributed as dist
@@ -306,7 +306,7 @@ class DeepSpeech2Tester(DeepSpeech2Trainer):
             len_refs += len_ref
             num_ins += 1
             if fout:
-                fout.write({"utt": utt, "ref", target, "hyp": result})
+                fout.write({"utt": utt, "ref": target, "hyp": result})
             logger.info(f"Utt: {utt}")
             logger.info(f"Ref: {target}")
             logger.info(f"Hyp: {result}")

deepspeech/exps/u2/model.py

@@ -21,8 +21,8 @@ from collections import OrderedDict
 from contextlib import nullcontext
 from pathlib import Path
 from typing import Optional
-import jsonlines
 
+import jsonlines
 import numpy as np
 import paddle
 from paddle import distributed as dist
@@ -467,7 +467,7 @@ class U2Tester(U2Trainer):
             len_refs += len_ref
             num_ins += 1
             if fout:
-                fout.write({"utt": utt, "ref", target, "hyp": result})
+                fout.write({"utt": utt, "ref": target, "hyp": result})
             logger.info(f"Utt: {utt}")
             logger.info(f"Ref: {target}")
             logger.info(f"Hyp: {result}")

deepspeech/exps/u2_kaldi/model.py

@@ -20,8 +20,8 @@ from collections import defaultdict
 from contextlib import nullcontext
 from pathlib import Path
 from typing import Optional
-import jsonlines
 
+import jsonlines
 import numpy as np
 import paddle
 from paddle import distributed as dist
@@ -446,7 +446,7 @@ class U2Tester(U2Trainer):
             len_refs += len_ref
             num_ins += 1
             if fout:
-                fout.write({"utt": utt, "ref", target, "hyp": result})
+                fout.write({"utt": utt, "ref": target, "hyp": result})
             logger.info(f"Utt: {utt}")
             logger.info(f"Ref: {target}")
             logger.info(f"Hyp: {result}")

deepspeech/exps/u2_st/model.py

@@ -20,8 +20,8 @@ from collections import defaultdict
 from contextlib import nullcontext
 from pathlib import Path
 from typing import Optional
-import jsonlines
 
+import jsonlines
 import numpy as np
 import paddle
 from paddle import distributed as dist
@@ -480,7 +480,7 @@ class U2STTester(U2STTrainer):
             len_refs += len(target.split())
             num_ins += 1
             if fout:
-                fout.write({"utt": utt, "ref", target, "hyp": result})
+                fout.write({"utt": utt, "ref": target, "hyp": result})
             logger.info(f"Utt: {utt}")
             logger.info(f"Ref: {target}")
             logger.info(f"Hyp: {result}")

utils/README.md

 # Utils
 
 * [kaldi utils](https://github.com/kaldi-asr/kaldi/blob/cbed4ff688/egs/wsj/s5/utils)
+* [espnet utils)(https://github.com/espnet/espnet/tree/master/utils)

utils/filter.py

 #!/usr/bin/env python3
-
 # Apache 2.0
-
 import argparse
 import codecs
 import sys
@@ -12,15 +10,13 @@ is_python2 = sys.version_info[0] == 2
 def get_parser():
     parser = argparse.ArgumentParser(
         description="filter words in a text file",
-        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
-    )
+        formatter_class=argparse.ArgumentDefaultsHelpFormatter, )
     parser.add_argument(
         "--exclude",
         "-v",
         dest="exclude",
         action="store_true",
-        help="exclude filter words",
-    )
+        help="exclude filter words", )
     parser.add_argument("filt", type=str, help="filter list")
     parser.add_argument("infile", type=str, help="input file")
     return parser
@@ -37,29 +33,20 @@ def filter_file(infile, filt, exclude):
         for line in vocabfile:
             vocab.add(line.strip())
 
-    sys.stdout = codecs.getwriter("utf-8")(
-        sys.stdout if is_python2 else sys.stdout.buffer
-    )
+    sys.stdout = codecs.getwriter("utf-8")(sys.stdout
+                                           if is_python2 else sys.stdout.buffer)
     with codecs.open(infile, "r", encoding="utf-8") as textfile:
         for line in textfile:
             if exclude:
-                print(
-                    " ".join(
+                print(" ".join(
                     map(
                         lambda word: word if word not in vocab else "",
-                            line.strip().split(),
-                        )
-                    )
-                )
+                        line.strip().split(), )))
             else:
-                print(
-                    " ".join(
+                print(" ".join(
                     map(
                         lambda word: word if word in vocab else "<UNK>",
-                            line.strip().split(),
-                        )
-                    )
-                )
+                        line.strip().split(), )))
 
 
 if __name__ == "__main__":