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Attention level approximation of a conversation in human-robot vocal interaction using prosodic features of speech

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dc.contributor.author Wickramaratne, SD
dc.contributor.author Jayasekara, AGBP
dc.date.accessioned 2018-07-31T18:48:12Z
dc.date.available 2018-07-31T18:48:12Z
dc.identifier.uri http://dl.lib.mrt.ac.lk/handle/123/13336
dc.description.abstract With the widespread use of robots and integration of robots into the daily human life, the communication abilities of the robots are highlighted in order to ensure smooth interaction. Domestic robots with conversation capabilities are getting an increasing demand due to the fact that modern lifestyles are driving elderly community into isolation. One of the requirements of a conversation system is to ensure that all the people involved are interested in carrying out the conversation. Humans use various physical parameters in order to determine the interest level of the speaker to ensure the conversation is interesting for both parties. The interest level estimation can be used by the robot as a form of feedback to evaluate the effectiveness of the conversation system. In order to evaluate the attention level of the user a system using the prosodic features of speech is proposed. Prosodic features can be associated with the auditory and acoustic measures. These features are important in indicating emotions and attitudes of the speaker. By using the proposed system the robot will be able to determine the interest level using the responses given by the user to the robot by analyzing the prosodic parameters of the vocal response. en_US
dc.subject human-robot interactions, prosody, speech, affective states, interaction decisions en_US
dc.title Attention level approximation of a conversation in human-robot vocal interaction using prosodic features of speech en_US
dc.type Conference-Abstract en_US
dc.identifier.faculty Engineering en_US
dc.identifier.department Department of Electrical Engineering en_US
dc.identifier.year 2017 en_US
dc.identifier.conference Moratuwa Engineering Research Conference - MERCon 2017 en_US
dc.identifier.place Moratuwa, Sri Lanka en_US
dc.identifier.email sajila@elect.mrt.ac.lk en_US
dc.identifier.email buddhika@elect.mrt.ac.lk en_US


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