Significance Of Feature Differences In The Distinction Of Mental-Load

The use of voice as a main form of communication is becoming more relevant for modern human-machine interactions. Based on former works concerned primarily with the understanding of speech-to-text and the recognition of emotional information through voice, modern applications strive to advance the level of information that can be gathered by recording and analyzing the voice of users. This can include the general disposition of the speaker, beyond the direct emotional state but also the general state of behavior, with which systems might anticipate the most likely actions the user might take and prepare for them. In this paper we investigate how the general state of the mind and situation of the user influence his/her voice and if it is possible to measure this behavior in a reproducible manner.