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while running egs_modelscope/asr/paraformer/speech_paraformer_asr_nat-zh-cn-16k-common-vocab8404-online/infer.py ,get the error as follows:
===============
File "/root/FunASR_2/funasr/bin/asr_infere…
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https://github.com/alibaba-damo-academy/FunASR/blob/main/egs_modelscope/asr/paraformer/speech_paraformer_asr_nat-zh-cn-16k-aishell1-vocab4234-pytorch/infer.py
直接python infer.py就是用已微调的模型了?恕我直言,这文档写得稀里…
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OS: Ubuntu 18.04
Python: 3.8.15, C++: 7.5.0
Package Version: torch 2.0.0 modelscope 1.5.2 funasr 0.4.3 (onnx 1.13.1 onnxruntime 1.14.1)
Model: speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab…
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存在内存占用不释放的情况,已经更新funasr至最新
```
git clone https://github.com/alibaba/FunASR.git
cd FunASR
git pull
pip install --use-pep517 -e ./
funasr == 0.6.9
```
# 显存占用情况
| 操作| 显存占用|
| ----------…
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linux
Python3.9
modelscope1.3.0 FUNASR0.3.0
speech_fsmn_vad_zh-cn-16k-common-pytorch
多个并行报错
![image](https://user-images.githubusercontent.com/57550373/223009295-f98b5391-7632-4446-8550-d455eebf1…
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请问下,用fastapi框架集成asr/tts这些pipeline提供restapi服务的话,pipeline对象使用时是否需要加锁?
例如下面的代码:
inference_pipeline = pipeline(
task=Tasks.auto_speech_recognition,
model='damo/speech_paraformer-large_asr_nat…
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是训练的时候,每一个字的start,end时间都标好,然后送进模型里面训练,最后预测的时候也按训练流程预测
还是说训练的时候,没有特别的训练时间戳,而是在cif输出的得分的基础上,开展了进一步处理
debug了下代码,发现在预测时间戳的时候,又接了cnn,bilstm,直接懵逼了
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使用8个线程websocket客户端测试cpp websocket-server时crash。
代码为提issuse时的最新master
CPU:8核16线程,内存:32G
OS: debian 12.1 (Linux debian 6.1.0-11-amd64 #1 SMP PREEMPT_DYNAMIC Debian 6.1.38-4 (2023-08-08) x86_64 GNU/Li…
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系统:ubuntu/gpu docker
模型:Paraformer语音识别-中文-通用-16k-离线-large-长音频版
地址:https://modelscope.cn/models/damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch/summary
其他配置:funasr…
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some onnxruntime errors happend
```
[ 72%] Building CXX object sherpa-onnx/csrc/CMakeFiles/sherpa-onnx-microphone-offline.dir/microphone.cc.o
../../_deps/onnxruntime-src/lib/libonnxruntime_provider…