Using Hidden-markov Model in Speech-based Education System for the Visually Impaired Learner

Speech-based e-Education technology allows users to access learning content on the web by dialing a telephone number. Speech-enabled applications, particularly in the domain of education are primarily implemented to cater for the plight of the visually impaired towards addressing the shortcomings of user interface (UI) design of a mobile learner. However, with the increase in learning resources on the web, using telephone to find suitable content has become a painstaking task for speech-based online users to achieve improved performance. The problem of finding suitable content with speech elearning applications is more difficult when the sight impaired learner is involved. It is convenient to use existing mobile speech-enabled e-learning applications, but it can be exceptionally time-consuming when the user is forced to navigate through several levels of options before finding exact content. The adoption of Hidden markov model (HMM) for interface and interaction design is required to provide easy navigation and adaptation in speech-enabled learning towards solving the problem of finding suitable content. The objective of this study is to provide a design and implementation of a HMMbased speech interactive education. The system will be useful especially for the physically challenged students such as the visually impaired. It also offers an alternative platform of learning for the ablebodied learners.