Audio Signal Recognition Based on Intervals’ Numbers (INs) Classification Techniques

Abstract

Speech is one of the major human-machine interaction modalities and it is especially important in the case of special education using social robots. Although modern speech recognition engines can effectively deal with normal human-robot conversations, there are instances in special education where additional word detection and word comparison capabilities are needed to run in parallel with the typical conversation flow. This paper investigates the efficiency of a word detection method based on intervals’ numbers.