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DOI: 10.14569/IJACSA.2020.0110283
PDF

KWA: A New Method of Calculation and Representation Accuracy for Speech Keyword Spotting in String Results

Author 1: Nguyen Tuan Anh
Author 2: Hoang Thi Kim Dung

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 11 Issue 2, 2020.

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Abstract: This study proposes a new method to measure and represent accuracy for Keyword Spotting (KWS) problem in non-aligned string results. Our approach, called Keyword Spotting Accuracy (KWA), was improved from the Levenshtein Distance algorithm, that used to evaluate the accuracy of the keywords in KWS by measuring the minimum distance between two strings. The main improved algorithm is to show the status of each keyword in training phase for predicted and true labels. In which, representing which words are correct, which ones need to be inserted, substituted or deleted when comparing the prediction labels with true ones during the training phase. In addition, a new method of presenting the multiple keywords in results was proposed to indicate the accuracy of each keyword. This method can display detailed results by keywords, from which, we can obtain the accuracy, distribution, and balance of the keywords in the training dataset by actual speech variance, not by counting keywords in true labels as usual.

Keywords: Speech Keyword Spotting; KWS; keyword accuracy; Keyword Spotting Accuracy (KWA); speech recognition

Nguyen Tuan Anh and Hoang Thi Kim Dung, “KWA: A New Method of Calculation and Representation Accuracy for Speech Keyword Spotting in String Results” International Journal of Advanced Computer Science and Applications(IJACSA), 11(2), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0110283

@article{Anh2020,
title = {KWA: A New Method of Calculation and Representation Accuracy for Speech Keyword Spotting in String Results},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2020.0110283},
url = {http://dx.doi.org/10.14569/IJACSA.2020.0110283},
year = {2020},
publisher = {The Science and Information Organization},
volume = {11},
number = {2},
author = {Nguyen Tuan Anh and Hoang Thi Kim Dung}
}



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.

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