Implementation Text-To-Speech Bahasa Lampung Dialek A Menggunakan Metode Diphone Concatenation
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Abstract
One of the local languages in Indonesia is the Lampung language. As the Lampung residents use Bahasa to communicate during formal affairs, the lack of use of the Lampung language impairs the language itself. Additionally, non-Lampung natives find it difficult to pronounce the word. Therefore, it is necessary to provide usable tools for Lampung pronunciation. This study aims to develop a Text-To-Speech application for the Lampung language of dialect A as an appropriate tool for pronunciation. This application was implemented using the Diphone Concatenation method, where it works by combining previously recorded sound segments. These diphones are assembled to produce a complete sound file. The generated sound from the application was validated by 30 Lampung natives. The input text is Latin letters composed of one word, three words, and one sentence. The test accuracy is 85.92%, 74.67%, and 70.67% for those compositions.
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References
S. Budiono, R. Handayani and S. Winarti, "Vitalitas Bahasa Lampung di Pekon Penengahan, Kecamatan Karya Penggawa, Kabupaten Pesisir Barat," Linguistik Indonesia, vol. 41, no. 1, pp. 59-74, 2023.
N. W. Putri, "Pergeseran Bahasa Daerah Lampung Pada Masyarakat Kota Bandar Lampung," Prasasti: Journal of Linguistics, vol. 3, no. 1, pp. 83-97, 2018.
S. G. Wood, J. H. Moxley, E. L. Tighe and R. K. Wagner, "Does Use of Text-to-Speech and Related Read-Aloud Tools Improve Reading Comprehension for Students with Reading Disabilities? A Meta-Analysis," Journal of Learning Disabilities (JLD), vol. 51, no. 1, pp. 73-84, 2018.
A. Widyana, M. I. Jerusalem and B. Yumechas, "The Application of Text-To-Speech Technology in Language Learning," in The Sixth International Conference on Language, Literature, Culture, and Education (ICOLLITE 2022), Bandung, 2022.
S. Raffoul and L. Jaber, "Text-to-Speech Software and Reading Comprehension: The Impact for Students with Learning Disabilities," Canadian Journal of Learning and Technology (CJLT), vol. 49, no. 2, pp. 1-18, 2023.
M. C. Young, C. A. Courtad, K. H. Douglas and Y.-C. Chung, "The Effects of Text-to-Speech on Reading Outcomes for Secondary Students With Learning Disabilities," Journal of Special Education Technology, vol. 34, no. 2, pp. 80-91, 2019.
D. Kurniadi, F. Nuraeni, I. T. Raharja and A. Mulyani, "Perancangan Aplikasi Text To Speech Dalam Bahasa Indonesia Menggunakan Firebase Machine Learning Kit Berbasis Android," Jurnal Teknologi Informasi dan Ilmu Komputer (JTIIK), vol. 9, no. 6, pp. 1281-1288, 2022.
Kementerian Kesehatan RI, Situasi Penyandang Disabilitas, Pusat Data dan Informasi, Kementerian Kesehatan RI, Jakarta, 2014.
Qutsiyah, F. H. Rachman and F. Solihin, "Aplikasi Text To Speech Dalam Sistem Penerjemah Bahasa Indonesia-Madura Menggunakan Metode FSA (Finite State Automata)," Jurnal Sarjana Teknik Informatika, vol. 1, no. 1, pp. 1-10, 2015.
A. Fauzan and S. Hartati, "Text to Speech untuk Bahasa Arab Menggunakan Perangkaian Diphone," JUITA : Jurnal Informatika, vol. 6, no. 1, pp. 9-14, 2018.
S. Melangi, "Text To Speech Bahasa Indonesia Menggunakan Synthesizer Concatenation Berbasis Fonem," Jurnal Teknik Elektro CosPhi, vol. 2, no. 2, p. 31–36, 2018.
I. Carolina and A. Supriyatna, "Penerapan Metode Extreme Programming Dalam Perancangan Aplikasi Perhitungan Kuota SKS Mengajar Dosen," IKRA-ITH Informatika : Jurnal Komputer dan Informatika, vol. 3, no. 1, p. 106–113, 2019.
F. Ariyani, S. Sopari, G. A. Mulya, D. Murdani and Bahtiyar, Kamus Dwi Bahasa Indonesia - Lampung Dialek Way Kanan, Revisi ed., Blambangan Umpu: Pemerintah Kabupaten Way Kanan, 2015.
A. Mahya, Kamus Istilah Bahasa Lampung, Yogyakarta: Frasa Lingua, 2016.