Implementasi Google Text to Speech Pada Aplikasi Pendeteksi Uang Berbasis Android

Arrizqi, Nafi'; Santoso, Imam; Soetrisno, Yosua Alvin Adi

doi:10.14710/transient.v10i3.510-516

Cited by 3 publications

(2 citation statements)

References 4 publications

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“…Several previous studies on the use of text summarization and also text to speech became the basis for writing this research, as a source of data needed at the research method stage. Making automatic text summarization using extractive methods, abstraction and also a combination of the two is able to produce good document summarization [7]. The use of the NLTK python library to summarize documents in text that is input directly in the form of speech by utilizing the Google API facility, was proposed in research by Vinnarasu [8] .…”

Section: Iics Semnastik 2023mentioning

confidence: 99%

Integration of Transformer Model Text Summarization and Text-to-Speech in Helping Document Understanding in the Bukudio Application

Kharisma,

Kamdan,

Fergina

et al. 2023

conferenceseries

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The need for effective, accurate and precise understanding of information will provide optimization of the decision-making process, increase knowledge and quality of life. Understanding information in relation to the document summarization process, if done manually, sometimes takes quite a long time. Text summarization techniques which are useful as document summarizers have been developed and applied to various things such as summarizing important documents, news texts or customer feedback. In this article, text summarization using the text rank method and transformer modeling integrated with text to speech techniques is developed in the Bukudio application, which is an application that provides audio versions of book documents in the application database. Based on the test results, the evaluation process was carried out using the Rouge method and gave the best results in calculating the Rouge 1 overlap monogram resulting in 0.523 for the F1 Score value, 0.434 for the precision value and 0.659 for the recall value. This research will be developed using other methods so that not only files in PDF document format can be processed, but other EPUB (Electronic Publication) files.

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Section: Iics Semnastik 2023mentioning

confidence: 99%

Integration of Transformer Model Text Summarization and Text-to-Speech in Helping Document Understanding in the Bukudio Application

Kharisma,

Kamdan,

Fergina

et al. 2023

conferenceseries

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show abstract

“…Of course, the convenience of the Natural Reader application that can be accessed via a smartphone is an additional value because students today cannot seem to be separated from their smartphones so that students can learn without having to be separated from their smartphones.. Text-to-Speech is a quick-growing and well-liked invention in the world of technology and communication today. In the text-to-speech (TTS) process, a computer system produces speech that sounds natural (Arrizqi et al, 2021;Chapelle & Sauro, 2017). Speech synthesis technology has been around since the 1960s, and it is currently commonly used in apps like Natural Reader.…”

Section: Introductionmentioning

confidence: 99%

Students’ Experience in Using Natural Reader Application to Ensure the Accuracy of Their English Pronunciation

Purnama,

Rintaningrum,

Nuswantara

et al. 2024

J. Int. Lingua Tech

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Since 1960, speech synthesis technology has existed and its applications are now widely available, one of which is the Natural Reader application. Natural Reader is an application that can be used in knowing how to pronounce words in English. This study aims to describe students' experiences with using the Natural Reader application and examine the effect of utilizing the use of the Natural Reader application as a tool to test the accuracy of pronunciation of Mahmud Yunus Batusangkar State Islamic University students, by using the Natural Reader application students can more easily test their English accuracy. The method used by researchers is quantitative method, quantitative research can show data containing numbers that can be obtained by utilizing google form as a means of making a questionnaire. This research shows that the Natural Reader application has the potential to ensure the accuracy of pronunciation in English. So it can be concluded that the Natural Reader device can ensure the accuracy of student pronunciation in English.

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Development of Text to Speech Technology for Medical Robot Interaction

Yunita,

Taufik,

Rachman

et al. 2022

2022 IEEE International Conference on Sustainable Engineering and Creative Computing (ICSECC)

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Implementasi Google Text to Speech Pada Aplikasi Pendeteksi Uang Berbasis Android

Cited by 3 publications

References 4 publications

Integration of Transformer Model Text Summarization and Text-to-Speech in Helping Document Understanding in the Bukudio Application

Integration of Transformer Model Text Summarization and Text-to-Speech in Helping Document Understanding in the Bukudio Application

Students’ Experience in Using Natural Reader Application to Ensure the Accuracy of Their English Pronunciation

Development of Text to Speech Technology for Medical Robot Interaction

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