Comments (3)
Currently,multiple audio formats and sampling rate adaptation are not support on demo service。You can install funasr and modelscope for audio inference,please refer to https://github.com/alibaba-damo-academy/FunASR/wiki/%E5%BF%AB%E9%80%9F%E6%8E%A8%E7%90%86
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i create a new issue to give you a new idea to solve the audio formats and sampling rate problems.
please refer to #200
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新版本已经发布,包括在线体验也已经支持,兼容多种音频格式,可以更新版本,或者到网页在线体验(已经测试,你上传的wav都是ok的):https://www.modelscope.cn/models/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/summary
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Related Issues (20)
- 尝试使用 finetune.sh 微调 seaco-paraformer ,微调后发现,每个epoch 的model.pt增大了很大,从原模型的800多M,增大到了2.44GB多,这是什么原因
- 微信群已经不能扫码加入了
- 导入funasr包时间过长
- 没有 raw_text 这个key
- torch.save保存时没有model.state_dict()
- 如何在funasr-runtime-sdk-cpu-0.4.4 websocket服务端上开启说话人识别? HOT 1
- funasr音频问题 HOT 1
- model.generate传入文件路径和传入文件bytes返回完全不同 HOT 6
- UniASR. 模型 支持转为onnx格式吗 HOT 1
- 通过上传文件识别 无法结束问题
- finetune时的学习率问题,经过初始lr经过scheduler后变得特别小
- paraformer onnx-gpu耗时过长原因定位 HOT 2
- 模型输出的文本和时间戳长度不同,如何进行对应? HOT 4
- the VAD model got an error message HOT 1
- libgomp: Thread creation failed: Resource temporarily unavailable HOT 1
- 我通过docker容器化部署了FunASR,但是在通过网页连接时却提示连接失败 HOT 3
- Mac M2 Max 源码运行如何调用gpu HOT 5
- 点击授权
- AutoModel inference函数有bug,Paramformer online并行处理多个音频时cache错乱 HOT 2
- ImportError: cannot import name 'AutoModel' from 'funasr' HOT 1
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