From 62f490ef6f2bc9250a51ad06c6c72d2b9adbd0c0 Mon Sep 17 00:00:00 2001
From: chong.zhang <chong.zhang@alibaba-inc.com>
Date: 星期二, 23 五月 2023 16:51:19 +0800
Subject: [PATCH] add speech_UniASR_asr_2pass-tr-16k-common-vocab1582-pytorch
---
egs_modelscope/asr_vad_punc/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch/demo.py | 5 ++---
1 files changed, 2 insertions(+), 3 deletions(-)
diff --git a/egs_modelscope/asr_vad_punc/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch/demo.py b/egs_modelscope/asr_vad_punc/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch/demo.py
index 9b474dd..91212c0 100644
--- a/egs_modelscope/asr_vad_punc/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch/demo.py
+++ b/egs_modelscope/asr_vad_punc/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch/demo.py
@@ -3,15 +3,14 @@
if __name__ == '__main__':
audio_in = 'https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/vad_example.wav'
- output_dir = None
+ output_dir = "./results"
inference_pipeline = pipeline(
task=Tasks.auto_speech_recognition,
model='damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch',
vad_model='damo/speech_fsmn_vad_zh-cn-16k-common-pytorch',
punc_model='damo/punc_ct-transformer_zh-cn-common-vocab272727-pytorch',
output_dir=output_dir,
- batch_size=64,
)
- rec_result = inference_pipeline(audio_in=audio_in)
+ rec_result = inference_pipeline(audio_in=audio_in, batch_size_token=5000)
print(rec_result)
--
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