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Article Details

Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

Partial Greedy Algorithm to Extract a Minimum Phonetically-and-Prosodically Rich Sentence Set

Author 1: Fahmi Alfiansyah
Author 2: Suyanto

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Digital Object Identifier (DOI) : 10.14569/IJACSA.2018.091274

Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 9 Issue 12, 2018.

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Abstract: A phonetically-and-prosodically rich sentence set is so important in collecting a read-speech corpus for developing phoneme-based speech recognition. The sentence set is usually searched from a huge text corpus of million sentences using the optimization methods. One of the commonly used optimization methods for this case is a Least-to-Most Greedy (LTMG) algo-rithm. It is effective in minimizing the number of phoneme-units. Unfortunately, it does not distribute their frequencies. In this paper, a new method called Partial LTMG algorithm (PLTMG) is proposed to search an optimum set containing triphones and prosodies those are distributed in a near-uniform fashion. Testing on an Indonesian text corpus of ten million sentences crawled from some websites of newspapers and novels shows that the proposed method is not only capable of minimizing both phoneme-units and prosodies but also effective in distributing their frequencies.

Keywords: Automatic speech recognition; minimum sentence set; prosody; speech corpus; triphone

Fahmi Alfiansyah and Suyanto, “Partial Greedy Algorithm to Extract a Minimum Phonetically-and-Prosodically Rich Sentence Set” International Journal of Advanced Computer Science and Applications(IJACSA), 9(12), 2018. http://dx.doi.org/10.14569/IJACSA.2018.091274

@article{Alfiansyah2018,
title = {Partial Greedy Algorithm to Extract a Minimum Phonetically-and-Prosodically Rich Sentence Set},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.091274},
url = {http://dx.doi.org/10.14569/IJACSA.2018.091274},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {12},
author = {Fahmi Alfiansyah and Suyanto}
}


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