From f3ff8403106d784c5e0e0aa4badd4ae322f2e308 Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期一, 20 二月 2023 14:47:51 +0800
Subject: [PATCH] readme

---
 funasr/runtime/python/onnxruntime/paraformer/rapid_paraformer/paraformer_onnx.py |   13 +++++++------
 1 files changed, 7 insertions(+), 6 deletions(-)

diff --git a/funasr/runtime/python/onnxruntime/paraformer/rapid_paraformer/paraformer_onnx.py b/funasr/runtime/python/onnxruntime/paraformer/rapid_paraformer/paraformer_onnx.py
index e520008..64dbaf8 100644
--- a/funasr/runtime/python/onnxruntime/paraformer/rapid_paraformer/paraformer_onnx.py
+++ b/funasr/runtime/python/onnxruntime/paraformer/rapid_paraformer/paraformer_onnx.py
@@ -41,8 +41,8 @@
         self.ort_infer = OrtInferSession(model_file, device_id)
         self.batch_size = batch_size
 
-    def __call__(self, wav_content: Union[str, np.ndarray, List[str]]) -> List:
-        waveform_list = self.load_data(wav_content)
+    def __call__(self, wav_content: Union[str, np.ndarray, List[str]], **kwargs) -> List:
+        waveform_list = self.load_data(wav_content, self.frontend.opts.samp_freq)
         waveform_nums = len(waveform_list)
 
         asr_res = []
@@ -54,8 +54,9 @@
             try:
                 am_scores, valid_token_lens = self.infer(feats, feats_len)
             except ONNXRuntimeError:
-                logging.error(traceback.format_exc())
-                preds = []
+                #logging.warning(traceback.format_exc())
+                logging.warning("input wav is silence or noise")
+                preds = ['']
             else:
                 preds = self.decode(am_scores, valid_token_lens)
 
@@ -63,9 +64,9 @@
         return asr_res
 
     def load_data(self,
-                  wav_content: Union[str, np.ndarray, List[str]]) -> List:
+                  wav_content: Union[str, np.ndarray, List[str]], fs: int = None) -> List:
         def load_wav(path: str) -> np.ndarray:
-            waveform, _ = librosa.load(path, sr=None)
+            waveform, _ = librosa.load(path, sr=fs)
             return waveform
 
         if isinstance(wav_content, np.ndarray):

--
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