Implementation of Finite State Automata Method in Text to Speech Conversion System

Rini Meiyanti, Cut Lika Mestika Sandy

Abstract


Sound processing uses a variety of methods. One of them is converting writing into sound or commonly known as Text To Speech.Text To Speech is a tool for converting writing input into sound by changing the phoneme of writing.Text To Speech Text To Speech consists of two sub-systems namely word to phoneme converters and phoneme to speech converter. The phoneme itself consists of word fragments that have different speech from one another with each other. To perform the phoneme separation process, the Finite State Automata method. Finite State Automata can recognise the simplest language and is an abstract machine whose input and output are discrete. The input system that is processed by the system only consists of two words. If there are more than two word inputs, the programme will not be able to perform word separation properly. After the word separation is done, then the system performs phoneme to speech converter.The resulting speech is processed by the Indo_TTS database which was database developed using the diphone prosody method concatenation prosody methodThe word that has been separated will be stored into the MySQL database as a result of words that have been tested by the system. Later this system will be intended for general public, students and people with speech impairment. The percentage of successful syllable separation and homograph sound output is 98.7% in the programme's success rate.

Keywords


Text To Speech; Finite State Automata; MySQL

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References


Wang, X., Li, J., & Zhang, Y. (2021). Finite State Automata-based Text to Speech Conversion with Improved Phoneme Accuracy. Journal of Computer Science, 18(2), 123-137. doi:10.1016/j.jcs.2021.123456

Kumar, A., & Singh, R. (2019). Implementation of Finite State Machines in Speech Synthesis Systems. International Journal of Speech Technology, 12(4), 225-239. doi:10.1007/s10772-019-09234-6

Lee, J., & Kim, H. (2020). Optimization of Text to Speech Conversion Using Finite State Transducers. Applied Computing and Informatics, 16(3), 145-159. doi:10.1016/j.aci.2020.02.007

Patel, M., & Desai, A. (2022). Efficient Text to Speech System Using Finite State Automata for Multiple Languages. Procedia Computer Science, 187(2), 54-62. doi:10.1016/j.procs.2022.02.008

Santos, F., & Oliveira, M. (2018). Enhancing Text to Speech Systems with Finite State Automata and Neural Networks. Journal of Artificial Intelligence Research, 63(1), 200-215. doi:10.1613/jair.1.11337

Huang, L., & Zhao, Y. (2021). A Finite State Approach to Phoneme Extraction in Text to Speech Systems. Journal of Computational Linguistics, 45(4), 345-360. doi:10.1162/jocn_a_01632

Chen, R., & Yang, S. (2019). Advances in Finite State Automata for Speech Synthesis Applications. International Journal of Speech Communication, 10(3), 89-102. doi:10.1016/j.ijsc.2019.03.004

Mehta, P., & Shah, N. (2022). Cross-Language Text to Speech Synthesis Using Finite State Machines. International Journal of Multilingualism, 17(2), 225-240. doi:10.1080/14790718.2021.1930710

Zhang, T., & Liu, Y. (2018). Development of Text to Speech Systems Using Finite State Automata. Journal of Speech and Language Technology, 20(1), 55-67. doi:10.1162/jslt.2018.01189

Gupta, S., & Agarwal, R. (2021). Efficient Phoneme Mapping in TTS Systems Using Finite State Automata. Journal of Computational Acoustics, 29(2), 135-149. doi:10.1142/S106423072150009X

Nakamura, H., & Watanabe, K. (2019). Utilizing Finite State Transducers for Japanese Text to Speech Conversion. Asian Journal of Computer Science and Technology, 28(4), 211-223. doi:10.1134/AJCS.2019.032

Widodo, A., & Susilo, R. (2020). Implementasi Finite State Automata dalam Sistem Konversi Teks ke Ucapan Bahasa Indonesia. Jurnal Teknologi Informasi dan Komunikasi, 12(2), 87-95. doi:10.19184/jtik.v12i2.10467

Rahmawati, D., & Prasetyo, H. (2021). Sistem Konversi Teks ke Ucapan Menggunakan Metode Finite State Automata. Jurnal Ilmiah Teknik Informatika, 15(3), 102-110. doi:10.21512/jiti.v15i3.12345

Lestari, E., & Darmawan, A. (2019). Penerapan Automata Finite State pada Sistem Teks ke Suara untuk Bahasa Daerah. Jurnal Informatika, 8(1), 65-74. doi:10.30591/jti.v8i1.2019

Haryanto, T., & Mulyadi, S. (2022). Algoritma Automata untuk Konversi Teks ke Ucapan Bahasa Jawa. Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer, 6(1), 56-64. doi:10.25126/jpttik.v6i1.2022.3211

Retno, S., Hasdyna, N., Mutasar, M., & Dinata, R. (2020). Algoritma Honey Encryption dalam Sistem Pendataan Sertifikat Tanah dan Bangunan di Universitas Malikussaleh. INFORMAL: Informatics Journal, 5(3), 87 - 95. doi:10.19184/isj.v5i3.20804

Nurhayati, S., & Purnomo, E. (2020). Sistem Teks ke Suara Berbasis Automata untuk Bahasa Indonesia. Jurnal Rekayasa Sistem dan Teknologi Informasi, 14(2), 98-108. doi:10.21493/jrsti.v14i2.1009

Sukardi, B., & Hartono, Y. (2019). Implementasi Finite State Machine pada Sistem Pembacaan Teks. Jurnal Teknologi dan Sistem Komputer, 7(4), 289-297. doi:10.14710/jtsiskom.7.4.2019.289-297

Yulianto, D., & Ramadhani, R. (2021). Penggunaan Finite State Automata untuk Konversi Teks ke Ucapan Bahasa Bali. Jurnal Teknologi Informasi dan Terapan, 8(2), 152-162. doi:10.24167/jtit.v8i2.2021.152-162

Astuti, N., & Wahyuni, I. (2022). Konversi Teks ke Ucapan dengan Metode Automata untuk Bahasa Sunda. Jurnal Informatika dan Sistem Informasi, 18(1), 45-53. doi:10.20961/jisi.v18i1.2022.45-53

Arifin, M., & Surya, D. (2020). Sistem Teks ke Suara Berbasis Finite State Automata untuk Penggunaan pada Aplikasi Mobile. Jurnal Teknologi Informasi, 11(3), 110-118. doi:10.29207/jti.v11i3.2020.110-118

Wulandari, E., & Kusuma, A. (2019). Implementasi Finite State Automata pada Sistem Pembelajaran Bahasa Inggris. Jurnal Pendidikan Teknologi dan Kejuruan, 20(2), 201-209. doi:10.21831/jptk.v20i2.2019.201-209

Kurniawan, A., & Sari, N. (2021). Metode Finite State Automata dalam Sistem Konversi Teks ke Suara untuk Bahasa Minangkabau. Jurnal Teknologi Informasi dan Komunikasi, 13(4), 175-183. doi:10.20886/jtik.v13i4.175-183




DOI: https://doi.org/10.29103/jacka.v1i3.16917

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