Queer inclusion in speech datasets: An audit and taxonomy of practical tensions

arXiv:2609.25491 · cs.AI · Submitted 2026-09-21 · Read on arXiv

cs.AI

Submitted: 2026-09-21

Updated: 2026-09-21

Comments: Accepted at Interspeech 2026

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Downstream Tasks — 3× in this paper · explained in 2 episodes
• Accountability — 2× in this paper · explained in 2 episodes
• Generative AI — 2× in this paper · explained in 2 episodes
• Mid-Atlantic Gender Expansive Speech — 2× in this paper
• Representation Learning — 2× in this paper · explained in 2 episodes
• Abundance — 1× in this paper · explained in 1 episode
• Algorithmic Bias — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Initial Data — 1× in this paper · explained in 2 episodes
• Self-Supervised Learning — 1× in this paper · explained in 7 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• AI-Driven Healthcare: A Review on Ensuring Fairness and Mitigating Bias
• Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods
• Just Because We Camp, Doesn't Mean We Should: The Ethics of Modelling Queer Voices
• Pre-trained Speech Processing Models Contain Human-Like Biases that Propagate to Speech Emotion Recognition
• Quantifying Bias in Automatic Speech Recognition
• ASR4REAL: An extended benchmark for speech models
• Common Voice: A Massively-Multilingual Speech Corpus

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