From b7c82bbb57eaeff0418dca0e5fe87299244c5f82 Mon Sep 17 00:00:00 2001
From: wucong.lyb <wucong.lyb@alibaba-inc.com>
Date: 星期三, 05 七月 2023 14:22:50 +0800
Subject: [PATCH] Merge remote-tracking branch 'origin/main'

---
 funasr/bin/asr_inference_launch.py |   23 +++++++++++++++++++----
 1 files changed, 19 insertions(+), 4 deletions(-)

diff --git a/funasr/bin/asr_inference_launch.py b/funasr/bin/asr_inference_launch.py
index 81513ae..8310791 100644
--- a/funasr/bin/asr_inference_launch.py
+++ b/funasr/bin/asr_inference_launch.py
@@ -257,6 +257,7 @@
         export_mode = param_dict.get("export_mode", False)
     else:
         hotword_list_or_file = None
+    clas_scale = param_dict.get('clas_scale', 1.0)
 
     if kwargs.get("device", None) == "cpu":
         ngpu = 0
@@ -289,6 +290,7 @@
         penalty=penalty,
         nbest=nbest,
         hotword_list_or_file=hotword_list_or_file,
+        clas_scale=clas_scale,
     )
 
     speech2text = Speech2TextParaformer(**speech2text_kwargs)
@@ -617,6 +619,22 @@
             sorted_data = sorted(data_with_index, key=lambda x: x[0][1] - x[0][0])
             results_sorted = []
             
+            if not len(sorted_data):
+                key = keys[0]
+                # no active segments after VAD
+                if writer is not None:
+                    # Write empty results
+                    ibest_writer["token"][key] = ""
+                    ibest_writer["token_int"][key] = ""
+                    ibest_writer["vad"][key] = ""
+                    ibest_writer["text"][key] = ""
+                    ibest_writer["text_with_punc"][key] = ""
+                    if use_timestamp:
+                        ibest_writer["time_stamp"][key] = ""
+
+                logging.info("decoding, utt: {}, empty speech".format(key))
+                continue
+
             batch_size_token_ms = batch_size_token*60
             if speech2text.device == "cpu":
                 batch_size_token_ms = 0
@@ -1349,10 +1367,7 @@
         left_context=left_context,
         right_context=right_context,
     )
-    speech2text = Speech2TextTransducer.from_pretrained(
-        model_tag=model_tag,
-        **speech2text_kwargs,
-    )
+    speech2text = Speech2TextTransducer(**speech2text_kwargs)
 
     def _forward(data_path_and_name_and_type,
                  raw_inputs: Union[np.ndarray, torch.Tensor] = None,

--
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