From ba3d455b21ca6226b8d624b476b217566b72787b Mon Sep 17 00:00:00 2001
From: 嘉渊 <wangjiaming.wjm@alibaba-inc.com>
Date: 星期一, 03 七月 2023 21:51:17 +0800
Subject: [PATCH] update
---
funasr/bin/diar_inference_launch.py | 15 +++------------
funasr/bin/asr_inference_launch.py | 5 +----
2 files changed, 4 insertions(+), 16 deletions(-)
diff --git a/funasr/bin/asr_inference_launch.py b/funasr/bin/asr_inference_launch.py
index 81513ae..5740f92 100644
--- a/funasr/bin/asr_inference_launch.py
+++ b/funasr/bin/asr_inference_launch.py
@@ -1349,10 +1349,7 @@
left_context=left_context,
right_context=right_context,
)
- speech2text = Speech2TextTransducer.from_pretrained(
- model_tag=model_tag,
- **speech2text_kwargs,
- )
+ speech2text = Speech2TextTransducer(**speech2text_kwargs)
def _forward(data_path_and_name_and_type,
raw_inputs: Union[np.ndarray, torch.Tensor] = None,
diff --git a/funasr/bin/diar_inference_launch.py b/funasr/bin/diar_inference_launch.py
index 03c9659..c065137 100755
--- a/funasr/bin/diar_inference_launch.py
+++ b/funasr/bin/diar_inference_launch.py
@@ -92,10 +92,7 @@
embedding_node="resnet1_dense"
)
logging.info("speech2xvector_kwargs: {}".format(speech2xvector_kwargs))
- speech2xvector = Speech2Xvector.from_pretrained(
- model_tag=model_tag,
- **speech2xvector_kwargs,
- )
+ speech2xvector = Speech2Xvector(**speech2xvector_kwargs)
speech2xvector.sv_model.eval()
# 2b. Build speech2diar
@@ -109,10 +106,7 @@
dur_threshold=dur_threshold,
)
logging.info("speech2diarization_kwargs: {}".format(speech2diar_kwargs))
- speech2diar = Speech2DiarizationSOND.from_pretrained(
- model_tag=model_tag,
- **speech2diar_kwargs,
- )
+ speech2diar = Speech2DiarizationSOND(**speech2diar_kwargs)
speech2diar.diar_model.eval()
def output_results_str(results: dict, uttid: str):
@@ -257,10 +251,7 @@
dtype=dtype,
)
logging.info("speech2diarization_kwargs: {}".format(speech2diar_kwargs))
- speech2diar = Speech2DiarizationEEND.from_pretrained(
- model_tag=model_tag,
- **speech2diar_kwargs,
- )
+ speech2diar = Speech2DiarizationEEND(**speech2diar_kwargs)
speech2diar.diar_model.eval()
def output_results_str(results: dict, uttid: str):
--
Gitblit v1.9.1