-
Currently, segments where one/several estimates are all-zero are not considered for the BSSEval computation
https://github.com/sigsep/sigsep-mus-eval/blob/05d52e4962660417801b78aa82ac598dd8c7b25a/…
-
Hi all,
So, when I evaluated UMX and X-UMX (to compare with my model, xumx-sliCQ), in my MDX published paper, I reported the following median SDR values:
>Our model, xumx-sliCQ, was trained on MUS…
-
Adicionar banner com o link para o Sisec dentro do iSUS.
-
Unfortunately I wasn't able to get close to paper results. My results on MUSDB18HQ dataset are following:
```
SDR bass: 1.0778
SDR drums: 2.5914
SDR other: 0.6353
SDR vocals: 2.9829
```
My me…
-
## **Objetivo**
**Como** designer
**Quero** criar a AI do site CISEC
**Para** nortear o design e elaboração de páginas e navegação
## **Contexto**
O Site do SISEC possui um protótipo feito pelo tim…
-
Hi,
First of all, great work! And thanks for sharing the code, much appreciated!
I'm trying to reproduce the vocal part of the MUSDB18 results shown in Table 1 reported in the paper. But I got …
-
when I change the volume of estimates, the results by museval will be different, but when I use mir_eval, the results will not change. Is there any difference between museval and mir_eval?
-
Hi, I just listened to some of your sisec submissions and found that a few methods have some windowing artifacts (clicks of multiples of 1024 samples).
I did not evaluate this systematically but I …
-
Hi, I'm taking a pretty naive approach here as I'm not sure how compatible your library is with webpack, but wanted to see what your take on this error I'm getting is:
Here is a React component tha…
-
First, congrats to your release. Glad to have more music separation ready to use :-)
Do you have some more information regarding
* were the pretrained models just trained on MUSDB18?
* If not, …