Effects of Talker Dialect, Gender & Race on Accuracy of Bing Speech and YouTube Automatic Captions
By Rachael Tatman, Conner Kasten. 2017
144 citations recorded by the source corpus.
Subfields: Developmental and Educational Psychology, Language and Linguistics, 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 Developmental and Educational Psychology
In Language and Linguistics
In Speech & Audio
In AI Ethics, Fairness & Society
Citations in the corpus
- Artie Bias Corpus: An Open Dataset for Detecting Demographic Bias in Speech Applications (2020, methodology): “Previous work in the detection of demographic bias in Speech Recognition models can be found in Tatman (2017) and Tatman and Kasten (2017).”