Non-verbal information in spontaneous speech - towards a new framework of analysis

arXiv:2403.03522v1 Announce Type: cross
Abstract: Non-verbal signals in speech are encoded by prosody and carry information that ranges from conversation action to attitude and emotion. Despite its importance, the principles that govern prosodic structure are not yet adequately understood. This paper offers an analytical schema and a technological proof-of-concept for the categorization of prosodic signals and their association with meaning. The schema interprets surface-representations of multi-layered prosodic events. As a first step towards implementation, we present a classification process that …

abstract analysis arxiv attitude conversation cs.cl cs.lg cs.sd eess.as emotion framework importance information paper schema speech type verbal