Perception of Synthetic Voices in Human-Agent Interaction

Abstract

We present a preliminary study on auditory categorization of synthetic voices by naïve human listeners. Different re-synthesized speech stimuli are rated in a perception test. These include linguistic variations which are not commonly employed in spoken dialog systems. The results of the conducted experiments are important for further research and development on human-agent interaction which aims to offer a more natural verbal interaction.