From c1d4bd297a4418ef44882079c4845cfe64ed0b21 Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期四, 27 四月 2023 19:36:32 +0800
Subject: [PATCH] docs
---
egs_modelscope/asr/uniasr/speech_UniASR_asr_2pass-he-16k-common-vocab1085-pytorch/infer.py | 4 ++--
1 files changed, 2 insertions(+), 2 deletions(-)
diff --git a/egs_modelscope/asr/uniasr/speech_UniASR_asr_2pass-he-16k-common-vocab1085-pytorch/infer.py b/egs_modelscope/asr/uniasr/speech_UniASR_asr_2pass-he-16k-common-vocab1085-pytorch/infer.py
index c54ab8c..e0d1a4d 100644
--- a/egs_modelscope/asr/uniasr/speech_UniASR_asr_2pass-he-16k-common-vocab1085-pytorch/infer.py
+++ b/egs_modelscope/asr/uniasr/speech_UniASR_asr_2pass-he-16k-common-vocab1085-pytorch/infer.py
@@ -4,10 +4,10 @@
if __name__ == "__main__":
audio_in = "https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_he.wav"
output_dir = "./results"
- inference_pipline = pipeline(
+ inference_pipeline = pipeline(
task=Tasks.auto_speech_recognition,
model="damo/speech_UniASR_asr_2pass-he-16k-common-vocab1085-pytorch",
output_dir=output_dir,
)
- rec_result = inference_pipline(audio_in=audio_in, param_dict={"decoding_model":"offline"})
+ rec_result = inference_pipeline(audio_in=audio_in, param_dict={"decoding_model":"offline"})
print(rec_result)
--
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