Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/802
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dc.contributor.authorRajapakshe, D. D. S-
dc.contributor.authorKudawithana, K. N. B-
dc.contributor.authorUswatte, U. L. N. P-
dc.contributor.authorNishshanka, N. A. B. D-
dc.contributor.authorPiyawardana, A. V. S-
dc.contributor.authorPulasinghe, K-
dc.date.accessioned2022-01-28T03:16:44Z-
dc.date.available2022-01-28T03:16:44Z-
dc.date.issued2020-12-10-
dc.identifier.citationD. D. S. Rajapakshe, K. N. B. Kudawithana, U. L. N. P. Uswatte, N. A. B. D. Nishshanka, A. V. S. Piyawardana and K. N. Pulasinghe, "Sinhala Conversational Interface for Appointment Management and Medical Advice," 2020 2nd International Conference on Advancements in Computing (ICAC), 2020, pp. 85-90, doi: 10.1109/ICAC51239.2020.9357155.en_US
dc.identifier.isbn978-1-7281-8412-8-
dc.identifier.urihttp://localhost:80/handle/123456789/802-
dc.description.abstractThis paper proposes an intelligent conversational user interface to assist Sinhala speaking users to make appointments with doctors and to obtain medical advices. This Sinhala Conversational Interface for Appointment Management and Medical Advice (SCI-AMMA) consists of Speech Recognition unit, Query Processing unit, Dialog Management unit, Voice Synthesizer unit, and User Information Management unit to handle user requests and maintain a meaningful dialogue. The SCI-AMMA gets the users' speech utterances and recognize the language content of it for further processing. Language content is further processed using query processing unit to identify users' intent. To fulfil the users' intent, a reply is generated from Dialogue Management Unit. This reply/answer will be delivered to the user by means of a voice synthesizer. The proposed system is successfully implemented using state of the art technology stack including Flutter, Python, Protégé and Firebase. Performance of the system is demonstrated using several sample scenarios/dialogues.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofseries2020 2nd International Conference on Advancements in Computing (ICAC);Vol 1 Pages 85-90-
dc.subjectSinhala Conversationalen_US
dc.subjectConversational Interfaceen_US
dc.subjectAppointmenten_US
dc.subjectManagementen_US
dc.subjectMedical Adviceen_US
dc.titleSinhala Conversational Interface for Appointment Management and Medical Adviceen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/ICAC51239.2020.9357155en_US
Appears in Collections:Research Papers - IEEE
Research Papers - SLIIT Staff Publications
Research Publications -Dept of Information Technology

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