TELKOMNIKA Telecommunication, Computing, Electronics and Control
Continuous speech segmentation using local adaptive thresholding technique in the blocking block area method
Dublin Core
Title
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Continuous speech segmentation using local adaptive thresholding technique in the blocking block area method
Continuous speech segmentation using local adaptive thresholding technique in the blocking block area method
Subject
Blocking block area, Continuous speech, Local adaptive thresholding, Speech segmentation
Description
Continuous speech is a form of natural human speech that is continuous
without a clear boundary between words. In continuous speech recognition, a segmentation process is needed to cut the sentence at the boundary of each word. Segmentation becomes an important step because a speech can be recognized from the word segments produced by this process. The segmentation process in this study was carried out using local adaptive thresholding technique in the blocking block area method. This study aims to conduct performance comparisons for five local adaptive thresholding methods (Niblack, Sauvola, Bradley, Guanglei Xiong and Bernsen) in continuous speech segmentation to obtain the best method and optimum parameter values. Based on the results of the study, Niblack method is concluded as the best method for continuous speech segmentation in Indonesian language with the accuracy value of 95%, and the optimum parameter values for such method are window = 75 and k = 0.2.
without a clear boundary between words. In continuous speech recognition, a segmentation process is needed to cut the sentence at the boundary of each word. Segmentation becomes an important step because a speech can be recognized from the word segments produced by this process. The segmentation process in this study was carried out using local adaptive thresholding technique in the blocking block area method. This study aims to conduct performance comparisons for five local adaptive thresholding methods (Niblack, Sauvola, Bradley, Guanglei Xiong and Bernsen) in continuous speech segmentation to obtain the best method and optimum parameter values. Based on the results of the study, Niblack method is concluded as the best method for continuous speech segmentation in Indonesian language with the accuracy value of 95%, and the optimum parameter values for such method are window = 75 and k = 0.2.
Creator
Roihan Auliya Ulfattah, Sukmawati Nur Endah, Retno Kusumaningrum, Satriyo Adhy
Source
DOI: 10.12928/TELKOMNIKA.v18i1.13958
Publisher
Universitas Ahmad Dahlan
Date
February 2020
Contributor
Sri Wahyuni
Rights
ISSN: 1693-6930
Relation
http://journal.uad.ac.id/index.php/TELKOMNIKA
Format
PDF
Language
English
Type
Text
Coverage
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Files
Collection
Citation
Roihan Auliya Ulfattah, Sukmawati Nur Endah, Retno Kusumaningrum, Satriyo Adhy, “TELKOMNIKA Telecommunication, Computing, Electronics and Control
Continuous speech segmentation using local adaptive thresholding technique in the blocking block area method,” Repository Horizon University Indonesia, accessed November 22, 2024, https://repository.horizon.ac.id/items/show/3528.
Continuous speech segmentation using local adaptive thresholding technique in the blocking block area method,” Repository Horizon University Indonesia, accessed November 22, 2024, https://repository.horizon.ac.id/items/show/3528.