DOI: https://doi.org/10.14710/jtsiskom.8.1.2020.27-35

Sistem deteksi ketepatan pembacaan surah al-Kautsar berbasis kata menggunakan mel frequency cepstrum coefficient dan cosine similarity

Recites fidelity detection system of al-Kautsar verse based on words using mel frequency cepstrum coefficients and cosine similarity

Institut Teknologi Telkom Purwokerto, Indonesia

Received: 29 Jul 2019; Revised: 25 Sep 2019; Accepted: 7 Oct 2019; Available online: 5 Nov 2019; Published: 31 Jan 2020.
Open Access Copyright (c) 2020 Jurnal Teknologi dan Sistem Komputer
Creative Commons License This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

How to cite (IEEE): J. Hendry, A. Rachman, and D. Zulherman, "Sistem deteksi ketepatan pembacaan surah al-Kautsar berbasis kata menggunakan mel frequency cepstrum coefficient dan cosine similarity," Jurnal Teknologi dan Sistem Komputer, vol. 8, no. 1, pp. 27-35, Jan. 2020. https://doi.org/10.14710/jtsiskom.8.1.2020.27-35
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Abstract
In this study, a system has been developed to help detect the accuracy of the reading of the Koran in the Surah Al-Kautsar based on the accuracy of the number and pronunciation of words in one complete surah. This system is very dependent on the accuracy of word segmentation based on envelope signals. The feature extraction method used was Mel Frequency Cepstrum Coefficients (MFCC), while the Cosine Similarity method was used to detect the accuracy of the reading. From 60 data, 30 data were used for training, while the rest were for testing. From each of the 30 training and test data, 15 data were correct readings, and 15 other data were incorrect readings. System accuracy was measured by word-for-word recognition, which results in 100 % of recall and 98.96 % of precision for the training word data, and 100 % of recall and 99.65 % of precision for the test word data. For the overall reading of the surah, there were 15 correct readings and 14 incorrect readings that were recognized correctly.
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Keywords: speech signal recognition; Al-Kautsar recite; Mel coefficients; cosine similarity; MFCC
Funding: Institut Teknologi Telkom Purwokerto, Indonesia

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