International Journal of Scientific and Research Publications

IJSRP, Volume 10, Issue 6, June 2020 Edition [ISSN 2250-3153]


Toward Speech Keyword Accuracy for String Results
      Nguyen Tuan Anh, Pham Hong Viet
Abstract: This study solves the accuracy problem of each keyword when training Keyword spotting (KWS) in non-aligned string results. This approach is called Keyword Detection Accuracy (KWA), which has been improved from the Levenshtein Distance algorithm, it is used to evaluate the accuracy of keywords in KWS by measuring the minimum distance between two strings. The main improvement algorithm is to display the status of each keyword in the training phase for predictive and true labels. In this study, the model used for training is LIS-Net, which is used in Speech Command Recognition. The results of the model are significantly improved compared to baseline models, and the results are displayed on graphs that can see the accuracy of each keyword.

Reference this Research Paper (copy & paste below code):

Nguyen Tuan Anh, Pham Hong Viet (2020); Toward Speech Keyword Accuracy for String Results; International Journal of Scientific and Research Publications (IJSRP) 10(06) (ISSN: 2250-3153), DOI: http://dx.doi.org/10.29322/IJSRP.10.06.2020.p10248
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