Is human-human spoken interaction manageable? The emergence of the concept: ‘Conversation Intelligence’

Abstract

Currently, via the mediation of audio mining technology and conversational user interfaces, and after years of constant improvements of Automatic Speech Recognition technology, conversation intelligence is an emerging concept, significant to the understanding of human-human communication in its most natural and primitive channel – our voice. This paper introduces the concept of Conversation Intelligence (CI), which is becoming crucial to the study of humanhuman speech interaction and communication management and is part of the field of speech analytics. CI is demonstrated on two established discourse terms – power relations and convergence. Finally, this paper highlights the importance of visualization for large-scale speech analytics.

Context dependent and time-course dependent prosodic analysis

“…Our findings suggest that speech-based dialogue systems, typically designed at the utterance level, should be designed to allow emulation of prosody that corresponds to the discourse context as well. As suggested by the emerging field of Conversation Intelligence ( [17] and [18]), emulation of prosody that correspond to the time-course and discursive content might pave the way to novel data analyses of natural conversations that will promote the knowledge on human-human and humanmachine verbal interactions.…”