An Interactive Adaptable Learning Interfacefor E-Learning Sessions

Abstract

Introduction of augmented reality into the E-learning systems brings a new era in personal remote education. While E-learning brings a lot of benefits for both instructor and student it also has various difficulties, such as absence of vital personal interaction that can influence on student motivation and inspiration. To decrease this gap we have started the development of an Interactive Adaptable Learning Interface (IALI) that with the help of speech synthesizers, emotions and voice recognition systems tries to adapt the ongoing E-learning session to the student behavior, simulating the way instructor adapt the lesson to the student reactions. As the IALI is initially planned for Ukrainian language students, we have made a deep analysis of nowadays applicable solutions for Ukrainian speech synthesis and recognition. In this paper we present the conducted analysis and application of the most widely applied speech synthesizers, voice and emotions recognition systems that were used to develop first version of IALI.