Authors:

Putu Asri Sri Sutanti, Gst. Ayu Vida Mastrika Giri

Abstract:

“Technological developments have greatly encouraged various researchers to develop several studies in the IT field. One branch of research in the IT field is sound synthesis. Some text-to-speech applications, are usually quite difficult to form and are less flexible in replacing existing types of sound. In addition, sometimes accent or how someone speaks is not well represented, so it is quite difficult to form a text-to-speech application by using the desired sound like user voice or other sounds. From the above problems, this research propose an application that can change text into sound or text-to-speech which is more flexible and in accordance with the wishes of the user. From the results of testing that has been done, this system has an accuracy of 70%.”

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PDF:

https://jurnal.harianregional.com/jlk/full-53156

Published

2020-01-25

How To Cite

SUTANTI, Putu Asri Sri; MASTRIKA GIRI, Gst. Ayu Vida. Low Filtering Method for Noise Reduction at Text to Speech Application.JELIKU (Jurnal Elektronik Ilmu Komputer Udayana), [S.l.], v. 8, n. 3, p. 339-345, jan. 2020. ISSN 2654-5101. Available at: https://ojs.unud.ac.id/index.php/JLK/article/view/53156. Date accessed: 28 Aug. 2025. doi:https://doi.org/10.24843/JLK.2020.v08.i03.p17.

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Issue

Vol 8 No 3 (2020): JELIKU Volume 8 No 3, February 2020

Section

Articles

Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License