Papers by Luca De Alfaro

1 papers
Privacy Preserving Data Selection for Bias Mitigation in Speech Models (2025.acl-industry)

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Challenge: Existing methods for identifying subgroups raise privacy concerns and gather sensitive information at runtime might be impractical.
Approach: They propose a method to identify and train underperforming subgroups and train a model to predict if an utterance belongs to these subgroup.
Outcome: The proposed method reduces biases and improves performance on intent classification and automatic speech recognition tasks.

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