Disruptive situation detection on public transport through speech emotion recognition

Disruptive situations are emotionally-charged events diverging from ordinary behavior, like people fighting or screaming. Public transports are one type of social environment where disruptive situation may occur, and their timely detection may bring significant improvements to people's safety....

詳細記述

書誌詳細

出版年:	Intelligent Systems with Applications
主要な著者:	Eleonora Mancini, Andrea Galassi, Federico Ruggeri, Paolo Torroni
フォーマット:	論文
言語:	英語
出版事項:	Elsevier 2024-03-01
主題:	Speech emotion recognition Affective computing Natural language processing Machine learning Data augmentation
オンライン･アクセス:	http://www.sciencedirect.com/science/article/pii/S2667305323001308