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Continuous speech segmentation using local adaptive thresholding technique in the blocking block area method

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Title Statement Continuous speech segmentation using local adaptive thresholding technique in the blocking block area method
 
Added Entry - Uncontrolled Name Ulfattah, Roihan Auliya; Universitas Diponegoro
Endah, Sukmawati Nur; Diponegoro University
Kusumaningrum, Retno; Universitas Diponegoro
Adhy, Satriyo; Universitas Diponegoro
 
Uncontrolled Index Term blocking block area; continuous speech; local adaptive thresholding; speech segmentation;
 
Summary, etc. <p>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.</p>
 
Publication, Distribution, Etc. Universitas Ahmad Dahlan
2020-02-01 00:00:00
 
Electronic Location and Access application/pdf
http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/13958
 
Data Source Entry TELKOMNIKA (Telecommunication Computing Electronics and Control); Vol 18, No 1: February 2020
 
Language Note en
 
Terms Governing Use and Reproduction Note Copyright (c) 2020 Universitas Ahmad Dahlan