Aplikasi Dongeng Berbasis Text to Speech  Untuk Platform Android

Hasanah, Uswatun; Jaroji, Jaroji

doi:10.31849/digitalzone.v7i2.599

Cited by 3 publications

(3 citation statements)

References 1 publication

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“…The analysis of the data, both the analysis of quantitative and qualitative, finally resulted that most participants accept Catalan text-to-speech audio description as an alternative solution to the standard human-voiced audio description. However, natural voices (not the Text2Speech voice), based on the study, got statistically higher scores than synthetic voices (the Text2Speech) and are still the preferred solution (Torne & Matamala, 2015;Arbie et al, 2013;Gelan, 2011;Hasanah & Jaroji, 2016). Natural voices from humans are easier to understand (high score) than Text2Speech voices.…”

Section: Introductionmentioning

confidence: 85%

Developing a listening English learning model using text2speech application

Wajdi¹,

Sanjaya²,

Sumartana³

2021

JASL

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The research on the development of "Listening" practice using Text2Speech Applications aims to develop teaching of English, ‘Listening’ for teachers and students who are not experts in the field of information technology. This study tries to discuss how to adopt and adapt Text-to-Speech software / applications in teaching and learning of English. Text2Speech is a computer application (software) that makes it possible to convert written text into spoken text so that it can be heard. By using the Text2Speech application, written text in MS Word format can be converted into spoken text. Text2Speech allows any text to be read in a computer-synthesized voice. By utilizing Text2Speech, written text can be read and sounded so that it can be heard by the user. Text2Speech allows users to determine how to pronounce a word, phrase, sentence, and even text or parts of text. By utilizing the Text2Speech application, teachers and students get "listening" learning materials in native speakers' voices, so that students get used to hearing "listening" teaching materials from native speakers.

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Section: Introductionmentioning

confidence: 85%

Developing a listening English learning model using text2speech application

Wajdi¹,

Sanjaya²,

Sumartana³

2021

JASL

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“…Selain itu terdapat pula penelitian yang memudahkan pengguna mengetahui isi pesan yang diterima tanpa harus membaca isi pesan tersebut [6]. Penelitian serupa diterapkan juga untuk membantu pengguna mengetahui pelafalan bahasa Inggris dengan benar [2], membaca dongeng [7], membantu belajar iqro' [8], dan aplikasi konversi teks menjadi suara berbasis android [9]. Teknologi TTS ini sangat memudahkan pekerjaan serta menjadi jembatan bagi mereka yang memiliki keterbatasan dalam penglihatan.…”

Section: Pendahuluanunclassified

Implementasi Google Text to Speech Pada Aplikasi Pendeteksi Uang Berbasis Android

2021

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Text to Speech (TTS) adalah teknologi yang digunakan untuk mengubah teks menjadi ucapan, salah satu speech engine TTS adalah Google TTS. Google TTS diterapkan pada aplikasi pendeteksi uang memudahkan pengguna low vision mengenali nominal uang melalui suara dan tap action. Masalah yang muncul adalah hasil deteksi tidak selalu benar, sehingga Fitur TTS diatur untuk mengucapkan hasil deteksi hanya jika confidence level-nya tinggi untuk memperkecil resiko penyampaian kesalahan informasi deteksi ke pengguna. Confidence level adalah nilai probabilitas adanya objek di dalam bounding box. Oleh karena itu, perlu adanya analisis threshold dari confidence level hasil deteksi untuk memisahkan antara confidence level tinggi dan rendah. Algoritma K-means digunakan untuk menentukan threshold tersebut dan didapatkan nilai sebesar 83,62%. Selain memberikan keluaran suara pada hasil deteksi, fitur TTS juga dipasang untuk memberikan tanda telah terbukanya aplikasi, petunjuk cara penggunaan, tanda proses deteksi dimulai, dan petunjuk untuk mengarahkan uang agar hasil deteksi akurat melalui ucapan kepada pengguna. Tingkat kebenaran informasi yang diucapkan pada proses deteksi sebesar 98,6% jika seluruh bagian uang masuk frame, 98,6% jika setengah sisi kiri bagian uang masuk frame, dan 92,8% jika setengah bagian kanan uang masuk frame.

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“…Listening to stories can provide an opportunity for listeners to imagine by describing an event that occurs in the story (Hasanah & Jaroji, 2016). Therefore, the design of the UNWAHA digital library application using Text to speech to convert story text into sound as a substitute medium in reading (Munawarah et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Design and Build a Digital Library Website Using Text to Speech

Hasbyalloh¹,

Airlangga²

2022

newton

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The number of writings such as novels that are interesting and can be published for the public and has a selling point usually can only be read through school wall magazine makes the work less useful and less desirable. In this case on campus, UNWAHA has some wall magazine that contains many interesting writings such as novels, short stories, and others, but the works received less response and interest from students by providing a media or container that is easy and appropriate can be used as a solution to increase the interest of a writer and reader in publishing and enjoying a paper. And the media is Digital Library, a digital library application equipped with a Text to speech feature to attract readers. This research aims to design and build the digital library application on a website basis. The application is built with the Codeigniter framework while the database used is the MySQL. And from the User side of either Author or Reader, they can easily publish their work and they can also enjoy the work easily.

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Aplikasi Dongeng Berbasis Text to Speech Untuk Platform Android

Cited by 3 publications

References 1 publication

Developing a listening English learning model using text2speech application

Developing a listening English learning model using text2speech application

Implementasi Google Text to Speech Pada Aplikasi Pendeteksi Uang Berbasis Android

Design and Build a Digital Library Website Using Text to Speech

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