Andrey Ronzhin

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In this paper the assistive multimodal system is presented, which is aimed for the disabled people, which need other kinds of interfaces than ordinary people. The group of users of this system is persons with hands disabilities. The interaction between a user and a machine is performed by voice and head movements. It gives the opportunity for disabled(More)
This paper describes the developed multimodal system intended for assistance to people with disabilities of hands. It combines automatic speech recognition and head tracking in one multimodal system. The structure of the system, the methods for recognition and tracking, information fusion and synchronization, the obtained results and testing conditions are(More)
Speech is the most natural way of human communication and in order to achieve convenient and efficient human–computer interaction implementation of state-of-the-art spoken language technology is necessary. Research in this area has been traditionally focused on In this paper, we describe our efforts to build an automatic speech recognition (ASR) system for(More)