Standard feature attribution methods give inconsistent explanations across retrained speech classifiers, except for word-level perturbation on word-based tasks.
Within each group, we present the effects of the varied conditions in applying feature attribution methods
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On the reliability of feature attribution methods for speech classification
Standard feature attribution methods give inconsistent explanations across retrained speech classifiers, except for word-level perturbation on word-based tasks.