Text to Speech Using Finite State Automata on Health Data
Computer science and engineering has provided many benefits that can be applied in our lives, such as in the field of automata theory, one of the largest areas related to the efficiency of an algorithm in solving problems in computational models. Text to Speech is a technology that converts text int...
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| Format: | Article |
| Language: | English |
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Departement of Electrical Engineering, Faculty of Engineering, Universitas Brawijaya
2023-04-01
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| Series: | Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems) |
| Subjects: | |
| Online Access: | https://jurnaleeccis.ub.ac.id/index.php/eeccis/article/view/1631 |
| _version_ | 1826933728391200768 |
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| author | Indrianto Indrianto Abdurrasyid Abdurrasyid Meilia Nur Indah Susanti Givari Fairus Ferdiansyah Deu Arief Ramadhan |
| author_facet | Indrianto Indrianto Abdurrasyid Abdurrasyid Meilia Nur Indah Susanti Givari Fairus Ferdiansyah Deu Arief Ramadhan |
| author_sort | Indrianto Indrianto |
| collection | DOAJ |
| description | Computer science and engineering has provided many benefits that can be applied in our lives, such as in the field of automata theory, one of the largest areas related to the efficiency of an algorithm in solving problems in computational models. Text to Speech is a technology that converts text into sound using a phonetization system, phonemes that are arranged to form a speech to make computers able to communicate and interact with everyday spoken language. Data that need to be interpret is the health data such as body temperature, heart rate per minute, and oxygen levels. Text to Speech is very useful to be applied to blind aids who need information in the form of sound because of their limitations. For this reason, it is necessary to make an application that can read text-based data that is stored into a voice that can be heard by the blind, the method used in this study is Finite State Automata (FSA) which is used to split Indonesian words into words according to its syllable patterns and facilitate the pronunciation process which is included in the blind aids so that it is expected to help the visually impaired to be able to find out their health condition. in this study, the test was carried out using the Confusion Matrix method, while the results obtained were 97% accurate. |
| first_indexed | 2024-03-11T13:26:14Z |
| format | Article |
| id | doaj.art-335c1509047340e3a834e059622aa429 |
| institution | Directory Open Access Journal |
| issn | 2460-8122 |
| language | English |
| last_indexed | 2025-02-17T17:36:07Z |
| publishDate | 2023-04-01 |
| publisher | Departement of Electrical Engineering, Faculty of Engineering, Universitas Brawijaya |
| record_format | Article |
| series | Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems) |
| spelling | doaj.art-335c1509047340e3a834e059622aa4292024-12-14T10:28:29ZengDepartement of Electrical Engineering, Faculty of Engineering, Universitas BrawijayaJurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems)2460-81222023-04-011711710.21776/jeeccis.v17i1.16312063Text to Speech Using Finite State Automata on Health DataIndrianto Indrianto0Abdurrasyid Abdurrasyid1Meilia Nur Indah Susanti2Givari Fairus Ferdiansyah Deu3Arief Ramadhan4Institut Teknologi PLN, West Jakarta, IndonesiaInstitut Teknologi PLNInstitut Teknologi PLNInstitut Teknologi PLNSchool of Computing, Telkom University, BandungComputer science and engineering has provided many benefits that can be applied in our lives, such as in the field of automata theory, one of the largest areas related to the efficiency of an algorithm in solving problems in computational models. Text to Speech is a technology that converts text into sound using a phonetization system, phonemes that are arranged to form a speech to make computers able to communicate and interact with everyday spoken language. Data that need to be interpret is the health data such as body temperature, heart rate per minute, and oxygen levels. Text to Speech is very useful to be applied to blind aids who need information in the form of sound because of their limitations. For this reason, it is necessary to make an application that can read text-based data that is stored into a voice that can be heard by the blind, the method used in this study is Finite State Automata (FSA) which is used to split Indonesian words into words according to its syllable patterns and facilitate the pronunciation process which is included in the blind aids so that it is expected to help the visually impaired to be able to find out their health condition. in this study, the test was carried out using the Confusion Matrix method, while the results obtained were 97% accurate.https://jurnaleeccis.ub.ac.id/index.php/eeccis/article/view/1631confusion matrixfinite state automatatext-to-speechvisually impaired aids |
| spellingShingle | Indrianto Indrianto Abdurrasyid Abdurrasyid Meilia Nur Indah Susanti Givari Fairus Ferdiansyah Deu Arief Ramadhan Text to Speech Using Finite State Automata on Health Data Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems) confusion matrix finite state automata text-to-speech visually impaired aids |
| title | Text to Speech Using Finite State Automata on Health Data |
| title_full | Text to Speech Using Finite State Automata on Health Data |
| title_fullStr | Text to Speech Using Finite State Automata on Health Data |
| title_full_unstemmed | Text to Speech Using Finite State Automata on Health Data |
| title_short | Text to Speech Using Finite State Automata on Health Data |
| title_sort | text to speech using finite state automata on health data |
| topic | confusion matrix finite state automata text-to-speech visually impaired aids |
| url | https://jurnaleeccis.ub.ac.id/index.php/eeccis/article/view/1631 |
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