Accented DH: Assessing Fairness of Multilingual Speech Recognition Systems
Autor: | Yokoyama, Setsuko, Rajan, Sai Sathiesh, Chattopadhyay, Sudipta |
---|---|
Přispěvatelé: | Scholger, Walter, Vogeler, Georg, Tasovac, Toma, Baillot, Anne, Raunig, Elisabeth, Scholger, Martina, Steiner, Elisabeth, Centre for Information Modelling, Helling, Patrick |
Jazyk: | angličtina |
Rok vydání: | 2023 |
Předmět: |
Paper
Logic and epistemology speech processing analysis and methods Short Presentation Postcolonial DH Multilingual DH speech recognition technology meta-criticism (reflections on digital humanities and humanities computing) ethics in AI Cultural studies Feminist studies artificial intelligence and machine learning |
DOI: | 10.5281/zenodo.8107518 |
Popis: | Responding to a call to embrace "digital humanities accents" (Risam 2018) as a radical act towards postcolonial epistemologies, this short paper discusses how a team of software engineers and a humanist is developing a discursive framework to assess fairness in AI for multilingual speech recognition technologies developed for Singlish speakers. |
Databáze: | OpenAIRE |
Externí odkaz: |