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The `--processors` / `n_processors` option, which initially I assumed was related to core count, actually seems to split the audio to chunks and process them in parallel.
When `n_processors` is set…
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Hi, I am trying to train my model on 25,000 rows of time series data with each row having data for over 60 time-intervals. It is taking 2+ hours to fit and predict using kMeans & soft-dtw as distance …
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I'd be interested in trying soft-DTW (dynamic time warping) as a loss function. I don't know a whole lot about DTW, but from what I understand, it compares two time series more based on their shape an…
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#### Description
Please forgive me for my poor English since English is not my native language.
I have read the source code and Sakoe_Chiba band generation examples from tslearn, pyts. The generat…
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#### Description
Please forgive me for my poor English since English is not my native language.
I have read the source code and Sakoe_Chiba band generation examples from tslearn, pyts. The generat…
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This is a pure question, although it could also be a potential very minor improvement suggestion (at a very low priority). I notice that when my input data is a (numpy) array of Nans, then sometimes I…
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Trying to install on Rpi 4 (latest Raspian/RpiOS), everything seems successful, but getting the following error when running `bin/rhasspy-wake-raven`:
```
Traceback (most recent call last):
Fil…
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I think Dynamic Time Warping (DTW) distance would be a nice addition when we deal with time series.
While searching for UMAP + DTW on Google I found this implementation: https://gist.github.com/ky…
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Hi,
First of all, thanks for this package that is very useful.
I have a usecase in which I would like to optimize over positions on the output grid of `interp1d` (i.e. `xnew`).
Here is a shor…
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Hi,
I would like to do kDBA, but using a custom metric for computing the DTW alignments (not available in either `scikit` or `scipy`).
Now, `dtw_variants` has the `dtw_path_from_metric` functio…