Papers by Joshua D. Eisenberg

1 papers
Artie Bias Corpus: An Open Dataset for Detecting Demographic Bias in Speech Applications (2020.lrec-1)

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Challenge: A speech technology exhibits demographic bias when performance is worse for one demographic group relative to another.
Approach: They create an English dataset of expert-validated audio, transcript> pairs with demographic tags for age, gender, accent and open software which may be used to detect demographic bias in Automatic Speech Recognition systems.
Outcome: The Artie Bias Corpus is a curated subset of the Mozilla Common Voice corpus, which is released under a Creative Commons CC0 license .

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