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Hey, thanks for your work in this project, it is really good.
I'm trying to use this vocoder to generate wavs from magnitude spectrograms I generated using another neural network. Using griffin-lim…
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There isn't a standard loss function implementing this, even though it's pretty common. I am perfectly willing to implement it myself, if nobody else feels like it. It shouldn't be terribly complicate…
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While this works:
Conv((1,1,1), 1=>1)(rand(1,1,1,1,1)) #3D convolution
This throws an error:
Conv((1,1,1,1), 1=>1)(rand(1,1,1,1,1,1)) #4D convolution
#ERROR: MethodError: no meth…
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Hello.
I'm working with a simple example of taking the stock LSTM from within PyTorch, converting it to ONNX and then to Glow. This I can do successfully and all stages the resulting models work as…
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Hi guys, really liking the repo and found the paper very insightful! Very excited to see the potential of single node RL experimentation :smile:
I am trying to reproduce the throughput shown in th…
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Hi!
I've found that eesen has a tensorflow branch, and I guess that it uses tensorflow's RNN and CTC routine. So I want to test it, but have no idea what the "data_dir" has to contain. I want to use …
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Can someone explain to me what is exactly happening in the acoustic decomposition ?
as an example , Now i have 180 value of MGC ( 60 , 60 delta , 60 acc. )
What i exactly do to make them just 60 ?
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rmmal updated
7 years ago
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Because of the autoregressive nature of Transformers, I know that they are fairly slow when generating new sequences from scratch, but I was wondering if you had any tips or tricks on how to do faster…
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Time to take these benchmarks forward to a more meaningful metric (it's taken so long, but it's after all a side project for fun).
I've added benchmarks for the following networks:
VGG Model A (2nd p…
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A list of PyTorch 1.7 features.
Items are checked if we have something more or less equivalent in Flux or in the julia ecosystem and supported by Flux.
This list is not complete, it comes from a r…