Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/2650
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dc.contributor.authorKooragama, K.G.C.M-
dc.contributor.authorJayashanka, L. R. W. D-
dc.contributor.authorMunasinghe, J. A-
dc.contributor.authorJayawardana, K. W-
dc.contributor.authorTissera, M-
dc.contributor.authorJayasingha, T. B-
dc.date.accessioned2022-06-21T06:19:55Z-
dc.date.available2022-06-21T06:19:55Z-
dc.date.issued2021-12-06-
dc.identifier.citationK. G. C. M. Kooragama, L. R. W. D. Jayashanka, J. A. Munasinghe, K. W. Jayawardana, M. Tissera and T. Buddhika, "Speech Master: Natural Language Processing and Deep Learning Approach for Automated Speech Evaluation," 2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), 2021, pp. 0484-0490, doi: 10.1109/IEMCON53756.2021.9623163.en_US
dc.identifier.issn2644-3163-
dc.identifier.urihttp://rda.sliit.lk/handle/123456789/2650-
dc.description.abstractEvery English speaker wishes to expertise his/her public speaking skills sharply. However, it is extremely difficult and requires a significant amount of practice and experience on an individual basis. This paper introduces a novel online tool “Speech Master” to practice and improve public English speech delivering skills in a professional manner. Using natural language processing, machine learning, and deep learning approaches, the proposed system analyzes the user's speech in terms of content, grammatical accuracy, grammatical richness, facial expressions, and flow. The accuracy was checked by comparing actual results taken from experts with the predicted results obtained from the tool. “Speech Master” achieves an average accuracy of more than 80% and produces a better overall result. This novel tool benefits English speakers all over the world by meeting the demand for a simple and easy-to-use solution for improving or practicing English speech delivery skills; enhancing oratory skills, boosting confidence, and delivering well-articulated speeches.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofseries2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON);-
dc.subjectSpeech Masteren_US
dc.subjectNatural Languageen_US
dc.subjectProcessingen_US
dc.subjectDeep Learningen_US
dc.subjectAutomated Speechen_US
dc.subjectEvaluationen_US
dc.subjectApproachen_US
dc.titleSpeech Master: Natural Language Processing and Deep Learning Approach for Automated Speech Evaluationen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/IEMCON53756.2021.9623163en_US
Appears in Collections:Department of Computer Science and Software Engineering-Scopes
Research Papers - Dept of Computer Science and Software Engineering
Research Papers - IEEE
Research Papers - SLIIT Staff Publications

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