Artie Bias Corpus: An Open Dataset for Detecting Demographic Bias in Speech Applications

By Josh Meyer, Lindy Rauchenstein, Joshua D. Eisenberg, Nicholas Howell. 2020

84 citations recorded by the source corpus.

Subfields: Speech & Audio, AI Ethics, Fairness & Society

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Speech & Audio

1. Ilya Sutskever
2. Greg Brockman
3. Jong Wook Kim
4. Tao Xu
5. Christine McLeavey
6. Alec Radford

Citations in the corpus

• Robust Speech Recognition via Large-Scale Weak Supervision (2022, methodology): “• Artie bias corpus (Meyer et al., 2020): We used the Artie bias corpus.”
• Theories of “Gender” in NLP Bias Research (2022, unknown): “10872 [96] Josh Meyer, Lindy Rauchenstein, Joshua D.”