Spoken Corpora Data, Automatic Speech Recognition, and Bias Against African American Language - The Case of Habitual 'Be'

Spoken Corpora Data, Automatic Speech Recognition, and Bias Against African American Language - The Case of Habitual 'Be'

Explore a research presentation examining the biases in automatic speech recognition systems against African American Language, focusing on the case of habitual 'be'. Delve into the analysis of spoken corpora data and its implications for natural language processing technologies. Learn about the challenges faced in accurately recognizing and processing diverse linguistic features, particularly those present in African American English. Gain insights into the importance of addressing these biases to create more inclusive and equitable language technologies.