The authors perform the first systematic bias evaluation in speech continuation tasks across three models, revealing gender interactions in text metrics and stronger reversion to modal phonation for female prompts.
Once semantic co- herence is high enough (for V AE-GSLM), significant gen- der differences begin to appear, specifically in theSentence PolarityandAgency & Competencemetrics
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Speak Your Mind: The Speech Continuation Task as a Probe of Voice-Based Model Bias
The authors perform the first systematic bias evaluation in speech continuation tasks across three models, revealing gender interactions in text metrics and stronger reversion to modal phonation for female prompts.