From 8d519b9dc66e0df35c15110ef23a26d07bc7f7c3 Mon Sep 17 00:00:00 2001
From: shixian.shi <shixian.shi@alibaba-inc.com>
Date: 星期二, 27 六月 2023 19:48:51 +0800
Subject: [PATCH] update
---
funasr/bin/asr_inference_launch.py | 7 ++++++-
1 files changed, 6 insertions(+), 1 deletions(-)
diff --git a/funasr/bin/asr_inference_launch.py b/funasr/bin/asr_inference_launch.py
index ce1f984..026874e 100644
--- a/funasr/bin/asr_inference_launch.py
+++ b/funasr/bin/asr_inference_launch.py
@@ -260,6 +260,7 @@
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
@@ -292,6 +293,7 @@
penalty=penalty,
nbest=nbest,
hotword_list_or_file=hotword_list_or_file,
+ clas_sacle=clas_scale,
)
speech2text = Speech2TextParaformer(**speech2text_kwargs)
@@ -867,7 +869,10 @@
try:
raw_inputs = torchaudio.load(data_path_and_name_and_type[0])[0][0]
except:
- raw_inputs = torch.tensor(soundfile.read(data_path_and_name_and_type[0])[0])
+ raw_inputs = soundfile.read(data_path_and_name_and_type[0], dtype='float32')[0]
+ if raw_inputs.ndim == 2:
+ raw_inputs = raw_inputs[:, 0]
+ raw_inputs = torch.tensor(raw_inputs)
if data_path_and_name_and_type is None and raw_inputs is not None:
if isinstance(raw_inputs, np.ndarray):
raw_inputs = torch.tensor(raw_inputs)
--
Gitblit v1.9.1