PENGENALAN SUARA PADA KAMUS BANJAR-INDONESIA DAN INDONESIA-BANJAR MENGGUNAKAN STATISTIK INFERENSI
DOI:
https://doi.org/10.33884/jif.v8i01.1727Keywords:
Bahasa Banjar, Google Voice Search, Kamus Digital, Pengenalan Suara, Statistik InferensiAbstract
Banjar language used in conversation and daily life around the area. So foreigners who come to the regions of South Kalimantan will have difficulty in communicating. Besides, most local residents in the backwoods of South Kalimantan can not use Indonesian language properly, they would be more convenient to use regional language to interact. For that reason we need an Android application can help users to find the translation of a word or phrase whenever and wherever. With the help of Google Voice Search, this application can also listen to the voice of the user to be converted into text and insert into the input translation. Speech recognition of Banjar language required a literacy training data by using the method of statistical inference to make results appropriated. Testing using method of Black Box Testing to measure the percentage of suitability of the results of translation, speech recognition for Indonesian language and speech recognition Banjar language using method of Statistical inference. So the results of translation accuracy 100% and accuracy of speech recognition Indonesian language and Banjar language by 97.85% and 82.74%.
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