Papers by Felix Herron
Identifying and typifying demographic unfairness in phoneme-level embeddings of self-supervised speech recognition models (2026.findings-acl)
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| Challenge: | a number of studies have been done to improve ASR for speaker groups, but there is still room for improvement . authors propose a framework typifying two types of error in phoneme embeddings . |
| Approach: | They propose a framework typifying two types of error that can occur in phoneme modeling . they propose random error/high variance in phonemes embedding vs systematic error/embedding bias . |
| Outcome: | The proposed framework typifies errors in phoneme modeling in ASR systems . it shows that training only on a single, typically disadvantaged SG improves performance . |