From f3d888fb9484e8f3dec8c1033268ef0ff750ffed Mon Sep 17 00:00:00 2001
From: Chong Zhang <iriszhangchong@gmail.com>
Date: 星期四, 16 二月 2023 09:50:54 +0800
Subject: [PATCH] Merge pull request #120 from alibaba-damo-academy/dev_zc
---
funasr/runtime/python/onnxruntime/paraformer/rapid_paraformer/paraformer_onnx.py | 8 ++++----
1 files changed, 4 insertions(+), 4 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..621b903 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]], fs: int = None) -> List:
+ waveform_list = self.load_data(wav_content, fs)
waveform_nums = len(waveform_list)
asr_res = []
@@ -63,9 +63,9 @@
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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