Feb. 27, 2024, 5:44 a.m. | Cristina Aggazzotti, Nicholas Andrews, Elizabeth Allyn Smith

cs.LG updates on arXiv.org arxiv.org

arXiv:2311.07564v2 Announce Type: replace-cross
Abstract: Authorship verification is the task of determining if two distinct writing samples share the same author and is typically concerned with the attribution of written text. In this paper, we explore the attribution of transcribed speech, which poses novel challenges. The main challenge is that many stylistic features, such as punctuation and capitalization, are not informative in this setting. On the other hand, transcribed speech exhibits other patterns, such as filler words and backchannels (e.g., …

abstract arxiv attribution author challenge challenges cs.cl cs.lg explore novel paper samples speakers speech text transcripts type verification writing

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Senior Machine Learning Engineer

@ Samsara | Canada - Remote