Comments (4)
The order of speaker in output is not fixed, it maybe [spk1, spk2] or [spk2, spk1].
It's a common problem in source separation, and permutation invariant training (PIT) is introduced to solve this problem.
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thanks for your reply!
your conv-tasnet introduced permutation invariant training (PIT)?
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is the order stable?
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- My TasNet and Conv-TasNet both support PIT.
- It's not fixed, so the order is not stable.
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Related Issues (6)
- loss becomes negative HOT 1
- didn't match because some of the arguments have invalid types: (Tensor, Tensor, !tuple!, !list!, bool, int, int, bool, !int!) HOT 3
- mixture_w, norm_coef = encoder(mixture)
- 您好!想问一下这个是什么错误,不太会 HOT 3
- 当菜鸟(我)使用高版本torch时,遇到的需要注意的地方 Problems I have met when I using high version torch
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