Phoneme embeddings in self-supervised ASR models show both random variance and systematic bias as sources of demographic unfairness, with variance hindering fairness more than bias.
In The 2024 ACM Conference on Fairness, Accountability, and Transparency , pages 1672–1681
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Identifying and typifying demographic unfairness in phoneme-level embeddings of self-supervised speech recognition models
Phoneme embeddings in self-supervised ASR models show both random variance and systematic bias as sources of demographic unfairness, with variance hindering fairness more than bias.