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Home Page: http://sp-tk.sourceforge.net
License: Apache License 2.0
A differentiable version of SPTK
Home Page: http://sp-tk.sourceforge.net
License: Apache License 2.0
Hi, as the title said, is there any plan to provide a functional
module, like PyTorch did, for some state-less transformations?
For example, conversion functions like lar2par
, par2lpc
, levdur
, and so on depend on an order
parameter that can be inferred from the input data.
Having them as pure functions would be great without creating a nn.Module
instance.
It would also be cool to have equivalent functional counterparts of other transforms, with default arguments that work out of the box when chaining the functions, similar to how librosa
does.
As the title said, when using MLSA
with mode="freq-domain"
, fft_length=1024
, alpha=0
, it triggers the assertion error at:
diffsptk/diffsptk/core/mgc2mgc.py
Line 67 in 16e6aa5
This is due to the argument n_fft
of MelGeneralizedCepstrumToSpectrum
is not exposed to FrequencyDomainFIRFilter
so it's always 512.
diffsptk/diffsptk/core/mglsadf.py
Lines 388 to 394 in 16e6aa5
Is it intentional?
I propose to add n_fft
as an argument to FrequencyDomainFIRFilter
.
It would be useful to be able to tweak make_filter_banks
parameters in PQMF and IPQMF creation. In particular, these are missing:
n_iter=100,
step_size=1e-2,
decay=0.5,
eps=1e-6,
diffsptk/diffsptk/core/linear_intpl.py
Lines 24 to 25 in 9f8131b
linear_intpl
?
BTW, the repository description on GitHub is "A differential version of SPTK".
I guess it should be "A differentiable ..." which you also used in the README file.
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