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Distance measurements method for the demite pronunciation assessment
Muhammad A.a, Prihatmanto A.S.a, Wijaya R.a, Rosyid H.A.b, Hakim H.R.a, Dana A.P.a, Himmah U.C.A.a
a School of Electrical Engineering and Informatics, Bandung Institute of Technology, Bandung, 40132, Indonesia
b Electrical Engineering, State University of Malang, Malang, Indonesia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2018 IEEE.The Demite is an educational game with a horror genre using Augmented Reality technology and Speech Recognition. In this game, the player will capture and eliminate ghosts with English pronunciation. Therefore, players will not only catch and eliminate ghosts, but players will also train their English pronunciation correctly. To find out the exact and correct pronunciation in English, The Demite requires an assessment system to measure the distance in the pronunciation of English words. The assessment system requires a method to measure the distance parameters that will be used in the assessment system. Parameters to be measured are Phonetic, Syllable, and Phonetic Length. In this study focused on choosing the right method between Levenshtein Distance, Euclidian Distance, and Manhattan Distance in measuring the distance of these parameters. Based on the results of the tests performed, it was concluded that it is possible to use Levenshtein distance in measuring the distance between phonetic and after observing the test data in syllable and phonetic length measurements, the Manhattan distance method is more appropriate to measure syllable and phonetic length distances even if viewed the average measurement of the Manhattan distance and Euclidean distance is almost the same value. However, when the distance from syllable and phonetic length is far, Euclidean measurements take the midpoint of the accumulation of all parameters, whereas, The Demite assessment system requires the sum of all distances obtained from these parameters. Therefore, the Manhattan distance method is used which measures the distance of the Syllable and Phonetic parameter by sum all the distance values obtained.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Augmented reality technology,Distance parameter,Euclidean distance,Euclidian distance,Length measurement,Levenshtein distance,Manhattan distance,Pronunciation assessment[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Distance Measurements,Euclidean Distance,Levenshtein Distance,Manhattan Distance[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1109/ICSEngT.2018.8606375[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]