FairASR pretrains a Conformer with InfoNCE plus a gradient-reversed supervised contrastive loss over demographic labels, reducing demographic WER gaps on FairSpeech with small overall WER cost.
Despite these advance- ments, the issue of fairness in ASR systems remains underex- plored
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FairASR: Fair Audio Contrastive Learning for Automatic Speech Recognition
FairASR pretrains a Conformer with InfoNCE plus a gradient-reversed supervised contrastive loss over demographic labels, reducing demographic WER gaps on FairSpeech with small overall WER cost.