update paraformer online text postprocess

egs_modelscope/asr/paraformer/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-online/demo.py

@@ -34,6 +34,6 @@ for sample_offset in range(0, speech_length, min(stride_size, speech_length - sa
     rec_result = inference_pipeline(audio_in=speech[sample_offset: sample_offset + stride_size],
                                     param_dict=param_dict)
     if len(rec_result) != 0:
-        final_result += rec_result['text'] + " "
+        final_result += rec_result['text']
         print(rec_result)
 print(final_result)

egs_modelscope/asr/paraformer/speech_paraformer_asr_nat-zh-cn-16k-common-vocab8404-online/demo.py

@@ -0,0 +1,39 @@
+import os
+import logging
+import torch
+import soundfile
+
+from modelscope.pipelines import pipeline
+from modelscope.utils.constant import Tasks
+from modelscope.utils.logger import get_logger
+
+logger = get_logger(log_level=logging.CRITICAL)
+logger.setLevel(logging.CRITICAL)
+
+os.environ["MODELSCOPE_CACHE"] = "./"
+inference_pipeline = pipeline(
+    task=Tasks.auto_speech_recognition,
+    model='damo/speech_paraformer_asr_nat-zh-cn-16k-common-vocab8404-online',
+    model_revision='v1.0.4'
+)
+
+model_dir = os.path.join(os.environ["MODELSCOPE_CACHE"], "damo/speech_paraformer_asr_nat-zh-cn-16k-common-vocab8404-online")
+speech, sample_rate = soundfile.read(os.path.join(model_dir, "example/asr_example.wav"))
+speech_length = speech.shape[0]
+
+sample_offset = 0
+chunk_size = [8, 8, 4] #[5, 10, 5] 600ms, [8, 8, 4] 480ms
+stride_size =  chunk_size[1] * 960
+param_dict = {"cache": dict(), "is_final": False, "chunk_size": chunk_size}
+final_result = ""
+
+for sample_offset in range(0, speech_length, min(stride_size, speech_length - sample_offset)):
+    if sample_offset + stride_size >= speech_length - 1:
+        stride_size = speech_length - sample_offset
+        param_dict["is_final"] = True
+    rec_result = inference_pipeline(audio_in=speech[sample_offset: sample_offset + stride_size],
+                                    param_dict=param_dict)
+    if len(rec_result) != 0:
+        final_result += rec_result['text']
+        print(rec_result)
+print(final_result.strip())

funasr/bin/asr_infer.py

@@ -828,9 +828,16 @@ class Speech2TextParaformerOnline:
 
                 # Change integer-ids to tokens
                 token = self.converter.ids2tokens(token_int)
-                token = " ".join(token)
-
-                results.append(token)
+                postprocessed_result = ""
+                for item in token:
+                    if item.endswith('@@'):
+                        postprocessed_result += item[:-2]
+                    elif re.match('^[a-zA-Z]+$', item):
+                        postprocessed_result += item + " "
+                    else:
+                        postprocessed_result += item
+                        
+                results.append(postprocessed_result)
 
         # assert check_return_type(results)
         return results