asteroid
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The PyTorch-based audio source separation toolkit for researchers
In line 13, 'n_src' is string not variable. So, 'n_src' should chance to '$n_src'.
What range should pmsqe be in? How close should the sound quality be at best or worst?
https://github.com/asteroid-team/asteroid/blob/c72227e5e31f6c13ba9c9da1d0d380cc75b91fbd/asteroid/dsp/overlap_add.py#L92  /We can see how torch 1.10.2 does concatenates the windows of all channels after unfold./ The expected behavior, in the code, would be to handle `(batch, chans, win_size)`...
## π Bug When I tried to run a recipe (SuDORMRFNET and SuDORMRFImprovedNet), I always end up running into this problem in stage 2 like the following. Stage 2: Training...
Tests are taking a while longer than before. I just remove some combinations and reduce dimensions
Should work now with oracle embedding. I made a separate pull request because it is faster See previous pull request also: https://github.com/asteroid-team/asteroid/pull/70 from last year. Many thanks to Neil (@lienz)...
I am trying to use asteroid and I did the following to setup the environment 1. conda create --name audio_source_sep python=3.8 2. conda activate audio_source_sep 3. conda install pip3 4....
I need to train and evaluate the ConvTasNet model on speech enhancement for a custom dataset. How should I go about formatting the data, and what changes need to be...
## π Feature This is to assign speaker ID of each separated signals with PIT. ### Motivation Authors from [MIRNet](http://www.interspeech2020.org/uploadfile/pdf/Thu-2-7-3.pdf) considers all of the loss terms by calculating every possible...
Hello and so happy to see you use Pytorch-Lightning! :tada: Just wondering if you already heard about quite the new **Pytorch Lightning (PL) ecosystem CI** where we would like to...