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Terminal Input:
python train.py --add_loss ocsoftmax -o ./models1028/ocsoftmax/train --gpu 1
Terminal Output:
Traceback (most recent call last):
File "train.py", line 5, in
from resnet i…
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哈喽啊,请问尝试过其它帧的训练策略吗?比如300帧或者500帧,效果如何呢?
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Hi. I am running into the following error. I am wondering if you can help me.
```
Traceback (most recent call last):
File "[path]/AIR-ASVspoof/dataset.py", line 53, in __getitem__
feat_mat =…
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关于asvSpoof项目,如何进行多张卡并行训练?
我设置多张显卡的时候,提示我没有准备 prepare_mean_std方法。
请问我该怎样设置呢?
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`
# just a place holder
self.m_transform.append(
torch_nn.Sequential(
torch_nn.Identity()
)
)
self.m_be…
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> Missed parameters of fs, fmin, fmax in extract_cqccc
>
> https://github.com/asvspoof-challenge/2021/blob/17c3ce9759f532f2c76d5017d33ac3321142d9c7/LA/Baseline-CQCC-GMM/python/gmm.py#L72
>
> Aft…
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Dear authors,
I quickly read the paper and found it very interesting. I do have many questions to ask, but the first thing I would like to discuss with you is the bitrate.
Based on what I know…
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I have a question. How can I differentiate between real and fake samples by score from loss.py (OCSoftmax), The spoof sample has a high score nearly 1 and bonafide sample has a low score nearly -1, …
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老哥,你好!我看asvspoof2019数据集中的真实语音和伪造语音数量是失衡的,是否考虑过model检测会倾向于spoof?提出的one-class损失函数是针对这种数据失衡的吗?还是说对于均衡数据集也可以达到不错的效果?另外,我看到ASVspoof2019.LA.cm.train.trl.txt文件中,首先是真实样本然后是伪造样本,在model训练过程中并没有shuffle数据,这也是有意为之…