Research Publications Authored by SLIIT Staff

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This collection includes all SLIIT staff publications presented at external conferences and published in external journals. The materials are organized by faculty to facilitate easy retrieval.

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Subject: search.filters.subject.Speech

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    Emergency Communication Application for Speech and Hearing-Impaired Citizens
    (IEEE, 2020-12-15) Dewasurendra, D; Kumar, A; Perera, I; Jayasena, D; Thelijjagoda, S
    Citizens worldwide with mutism and hearing loss, converse differently than the rest of the population. Preferring a gestural mode of communication, they use sign languages which are established natural languages with an extensive vocabulary and syntax. Nevertheless, despite having equal status to spoken languages, society prominently caters to the majority of citizens who are capable of speaking and processing spoken languages. As a result, sign language speakers face difficulties with social aggregation. The Sri Lankan citizens with mutism and hearing loss obtain improving benefits with the advancement of technology; however, accessing emergency services remains a challenge as they can only be accessed verbally using a phone call. Project `Wadhan' enables citizens with mutism and hearing loss to request for emergency services in real-time without depending on an intermediary. This cross-platform mobile application will convert Sri Lankan Sign Language (SSL) statements to voice and vice-versa, which allows a seamless conversation between the SSL speaker and the emergency operator. The application includes SSL Gesture Recognition, Sinhala Text-to-Speech (TTS), Sinhala Speech Recognition, and SSL Animation Generation, thus resulting in an emergency communication application that can be used by SSL users in dire situations.
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    Approximate decision making by natural language commands for robots
    (IEEE, 2006-11-06) Watanabe, K; Jayawardena, C; Izumi, K
    Inferring the correct meaning of natural language commands, as judged by the person who issues commands, is mandatory for natural language commanded robotic systems. There have been some successful research on this; but one of the important and related aspects has not been addressed, i.e. the possibility of learning from natural language commands. Since natural language commands are generated by human users, they contain valuable information. Nevertheless, the learning from such commands, as well as the interpretation of them face many challenges due to the inherent subjectiveness of natural languages. In this paper, we propose a decision making process for natural language commanded robots which is influenced by certain characteristics of human decision making process. The proposed concept is demonstrated with an experiment conducted using a robotic manipulator. First, the robot is controlled with natural language commands to perform some pick and place operations during which the robot builds a knowledge base. After learning, the robot is capable of performing approximately similar tasks by making approximate decisions with the gained knowledge. For the decision making a probabilistic neural network is used
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    Design, implementation and field tests of a socially assistive robot for the elderly: Healthbot version 2
    (IEEE, 2012-06-24) Jayawardena, C; Kuo, I; Datta, C; Stafford, R.Q; Broadbent, E; MacDonald, B. A
    This paper presents the second version of a mobile service robot (HealthBot) designed for older people. The lessons learned from studies of the first version of the robot at a retirement village, and design decisions for the second version, are discussed. Technical requirements of field trials, a focus on cognitive human-robot interactions, the importance of working together in a multidisciplinary team, and the necessity for rapid iterative development suggested a new software framework. The features of new framework are discussed and implementation details are presented. Details of field trials and user acceptance results are presented. Results are promising for older-user acceptance of the robot.