Acoustic semantic content of speech communication in robotics

The paper presents an original approach to the investigation of acoustic semantic content that ensures the effect of reciprocal human-machine and machine-human communication, which is one of the top priority tasks for fast stimulus-reaction ↔ reaction-stimulus model based interaction engineering in the modern research field that is now termed Interactive Communicative Robotics (see also: R. Potapova “Speech Dialogue as a Part of Human-Machine Interactive Systems” in: “Interactive Collaborative Robotics. 1st International Conference – ICR 2016”, LNAI 9812, Springer International Publishing, pp. 208–218). At the present stage various human-machine interface models making part of interactive robotic systems are being developed. Alongside visual image recognition (mimics, gestures etc), acoustic semantic content investigations, including the development of problem-oriented databases, knowledge bases, algorithms for controlling the communicative act, type and degree of interactiveness, is one of the essential areas forming the basis of the mentioned research field.