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In the paper, we also point out that we are barely scratching the surface of **WHAT** information we should use in feature attribution applications when dealing with these speech classification models.

We show that we need to be careful when applying existing feature attribution methods to modern speech classification models based on wav2vec 2.0, since the feature attribution results might not be as reliable as we think.

On the reliability of feature attribution methods for speech classification As the capabilities of large-scale pre-trained models evolve, understanding the determinants of their outputs becomes more important. Feature attribution aims to reveal which parts of the input elemen...

I am excited to announce that my paper "On the reliability of feature attribution methods for speech classification" has been accepted to #Interspeech2025!
Co-authors: @hmohebbi.bsky.social, Arianna Bisazza, Afra Alishahi, @grzegorz.chrupala.me
Find the preprint here: arxiv.org/abs/2505.16406