update asr postprocess_utils

funasr/bin/asr_inference_launch.py

@@ -488,6 +488,7 @@ def inference_paraformer_vad_punc(
 ):
     ncpu = kwargs.get("ncpu", 1)
     torch.set_num_threads(ncpu)
+    language = kwargs.get("model_lang", None)
 
     if word_lm_train_config is not None:
         raise NotImplementedError("Word LM is not implemented")
@@ -694,10 +695,13 @@ def inference_paraformer_vad_punc(
             text, token, token_int = result[0], result[1], result[2]
             time_stamp = result[4] if len(result[4]) > 0 else None
 
-            if use_timestamp and time_stamp is not None and len(time_stamp):
-                postprocessed_result = postprocess_utils.sentence_postprocess(token, time_stamp)
+            if language == "en-bpe":
+                postprocessed_result = postprocess_utils.sentence_postprocess_sentencepiece(token)
             else:
-                postprocessed_result = postprocess_utils.sentence_postprocess(token)
+                if use_timestamp and time_stamp is not None and len(time_stamp):
+                    postprocessed_result = postprocess_utils.sentence_postprocess(token, time_stamp)
+                else:
+                    postprocessed_result = postprocess_utils.sentence_postprocess(token)
             text_postprocessed = ""
             time_stamp_postprocessed = ""
             text_postprocessed_punc = postprocessed_result

funasr/utils/postprocess_utils.py

@@ -242,4 +242,55 @@ def sentence_postprocess(words: List[Any], time_stamp: List[List] = None):
             if ch != ' ':
                 real_word_lists.append(ch)
         sentence = ''.join(word_lists).strip()
-        return sentence, real_word_lists
+        return sentence, real_word_lists
+
+def sentence_postprocess_sentencepiece(words):
+    middle_lists = []
+    word_lists = []
+    word_item = ''
+
+    # wash words lists
+    for i in words:
+        word = ''
+        if isinstance(i, str):
+            word = i
+        else:
+            word = i.decode('utf-8')
+
+        if word in ['<s>', '</s>', '<unk>', '<OOV>']:
+            continue
+        else:
+            middle_lists.append(word)
+
+    # all alpha characters
+    for i, ch in enumerate(middle_lists):
+        word = ''
+        if '\u2581' in ch and i == 0:
+            word_item = ''
+            word = ch.replace('\u2581', '')
+            word_item += word
+        elif '\u2581' in ch and i != 0:
+            word_lists.append(word_item)
+            word_lists.append(' ')
+            word_item = ''
+            word = ch.replace('\u2581', '')
+            word_item += word
+        else:
+            word_item += ch
+    if word_item is not None:
+        word_lists.append(word_item)
+    #word_lists = abbr_dispose(word_lists)
+    real_word_lists = []
+    for ch in word_lists:
+        if ch != ' ':
+            if ch == "i":
+                ch = ch.replace("i", "I")
+            elif ch == "i'm":
+                ch = ch.replace("i'm", "I'm")
+            elif ch == "i've":
+                ch = ch.replace("i've", "I've")
+            elif ch == "i'll":
+                ch = ch.replace("i'll", "I'll")
+            real_word_lists.append(ch)
+    sentence = ''.join(word_lists)
+    return sentence, real_word_lists