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Automatic detection of speaker state: Lexical, prosodic, and phonetic approaches to level-of-interest and intoxication classification
2013
Computer Speech and Language
Traditional studies of speaker state focus primarily upon one-stage classification techniques using standard acoustic features. In this article, we investigate multiple novel features and approaches to two recent tasks in speaker state detection: level-of-interest (LOI) detection and intoxication detection. In the task of LOI prediction, we propose a novel Discriminative TFIDF feature to capture important lexical information and a novel Prosodic Event detection approach using AuToBI; we combine
doi:10.1016/j.csl.2012.03.004
fatcat:xmkbyv6zv5bydh76e253i2gepy