From 1f214b2bba9475c3e510623261ac2db8b28cd49f Mon Sep 17 00:00:00 2001
From: mengzhe.cmz <mengzhe.cmz@alibaba-inc.com>
Date: 星期二, 12 九月 2023 17:56:36 +0800
Subject: [PATCH] change eng punc in offline model

---
 funasr/bin/asr_inference_launch.py |    7 +++++++
 1 files changed, 7 insertions(+), 0 deletions(-)

diff --git a/funasr/bin/asr_inference_launch.py b/funasr/bin/asr_inference_launch.py
index a0f21da..2def98b 100644
--- a/funasr/bin/asr_inference_launch.py
+++ b/funasr/bin/asr_inference_launch.py
@@ -236,6 +236,7 @@
         timestamp_infer_config: Union[Path, str] = None,
         timestamp_model_file: Union[Path, str] = None,
         param_dict: dict = None,
+        decoding_ind: int = 0,
         **kwargs,
 ):
     ncpu = kwargs.get("ncpu", 1)
@@ -290,6 +291,7 @@
         nbest=nbest,
         hotword_list_or_file=hotword_list_or_file,
         clas_scale=clas_scale,
+        decoding_ind=decoding_ind,
     )
 
     speech2text = Speech2TextParaformer(**speech2text_kwargs)
@@ -312,6 +314,7 @@
             **kwargs,
     ):
 
+        decoding_ind = None
         hotword_list_or_file = None
         if param_dict is not None:
             hotword_list_or_file = param_dict.get('hotword')
@@ -319,6 +322,8 @@
             hotword_list_or_file = kwargs['hotword']
         if hotword_list_or_file is not None or 'hotword' in kwargs:
             speech2text.hotword_list = speech2text.generate_hotwords_list(hotword_list_or_file)
+        if param_dict is not None and "decoding_ind" in param_dict:
+            decoding_ind = param_dict["decoding_ind"]
 
         # 3. Build data-iterator
         if data_path_and_name_and_type is None and raw_inputs is not None:
@@ -365,6 +370,7 @@
             # N-best list of (text, token, token_int, hyp_object)
 
             time_beg = time.time()
+            batch["decoding_ind"] = decoding_ind
             results = speech2text(**batch)
             if len(results) < 1:
                 hyp = Hypothesis(score=0.0, scores={}, states={}, yseq=[])
@@ -1816,6 +1822,7 @@
     group.add_argument("--ngram_weight", type=float, default=0.9, help="ngram weight")
     group.add_argument("--streaming", type=str2bool, default=False)
     group.add_argument("--simu_streaming", type=str2bool, default=False)
+    group.add_argument("--full_utt", type=str2bool, default=False)
     group.add_argument("--chunk_size", type=int, default=16)
     group.add_argument("--left_context", type=int, default=16)
     group.add_argument("--right_context", type=int, default=0)

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