Binarizing linear predictions about passt HOT 1 OPEN

Hi Anar, thank you for the interest.

The model return logits. You can apply a sigmoid function on these to get a value between 0,1. You can then set some threshold (like 0.5) to binarize the outputs.

I don't believe that the probability has to do with the length of the event in the transformer model, because there is no pooling applied. However, this may be true in CNNs models with a global average pooling for example.

I think you can run a second-by-second predictions, we had competitive results in HEAR challenge on short events. The wrapper is published as a pip package here. you can use it to get embeddings or logits for shorter audio clips. You can also change the window length example.

from passt.