From 487420b1b54dd20f8dc114fc3ddf7616ce035b4c Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期四, 11 一月 2024 17:43:08 +0800
Subject: [PATCH] funasr1.0 paraformer_streaming
---
funasr/utils/load_utils.py | 8 ++++----
1 files changed, 4 insertions(+), 4 deletions(-)
diff --git a/funasr/utils/load_utils.py b/funasr/utils/load_utils.py
index c82987f..bb9cf01 100644
--- a/funasr/utils/load_utils.py
+++ b/funasr/utils/load_utils.py
@@ -43,7 +43,7 @@
elif isinstance(data_or_path_or_list, str) and data_type == "text" and tokenizer is not None:
data_or_path_or_list = tokenizer.encode(data_or_path_or_list)
elif isinstance(data_or_path_or_list, np.ndarray): # audio sample point
- data_or_path_or_list = np.squeeze(data_or_path_or_list) # [n_samples,]
+ data_or_path_or_list = torch.from_numpy(data_or_path_or_list).squeeze() # [n_samples,]
else:
pass
# print(f"unsupport data type: {data_or_path_or_list}, return raw data")
@@ -68,7 +68,7 @@
array = np.frombuffer((middle_data.astype(dtype) - offset) / abs_max, dtype=np.float32)
return array
-def extract_fbank(data, data_len = None, data_type: str="sound", frontend=None):
+def extract_fbank(data, data_len = None, data_type: str="sound", frontend=None, **kwargs):
# import pdb;
# pdb.set_trace()
if isinstance(data, np.ndarray):
@@ -83,7 +83,7 @@
elif isinstance(data, (list, tuple)):
data_list, data_len = [], []
for data_i in data:
- if isinstance(data, np.ndarray):
+ if isinstance(data_i, np.ndarray):
data_i = torch.from_numpy(data_i)
data_list.append(data_i)
data_len.append(data_i.shape[0])
@@ -91,7 +91,7 @@
# import pdb;
# pdb.set_trace()
# if data_type == "sound":
- data, data_len = frontend(data, data_len)
+ data, data_len = frontend(data, data_len, **kwargs)
if isinstance(data_len, (list, tuple)):
data_len = torch.tensor([data_len])
--
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