Analisis Bentuk Pola Suara Menggunakan Ekstraksi Ciri Mel-Frequencey Cepstral Coefficients (MFCC)

Authors

  • Rusydi Umar
  • Imam Riadi
  • Abdullah Hanif Ahmad Dahlan University

DOI:

https://doi.org/10.31154/cogito.v4i2.130.294-304

Abstract

Sound is a part of the human body that is unique and can be distinguished, so its application can be used in sound pattern recognition technology, one of which is used for sound biometrics. This study discusses the analysis of the form of a sound pattern that aims to determine the shape of the sound pattern of a person's character based on the spoken voice input. This study discusses the analysis of the form of a sound pattern that aims to determine the shape of the sound pattern of a person's character based on the spoken voice input. This study uses the Melf-Frequency Cepstrum Coefficients (MFCC) method for feature extraction process from speaker speech signals. The MFCC process will convert the sound signal into several feature vectors which will then be displayed in graphical form. Analysis and design of sound patterns using Matlab 2017a software. Tests were carried out on 5 users consisting of 3 men and 2 women, each user said 1 predetermined "LOGIN" word, which for 15 words said. The results of the test are the form of a sound pattern between the characteristics of 1 user with other users. Keywords—Voice, Pattern, Feature Extraction, MFCC

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CogITo Smart Journal Volume 4 No. 2, Desember 2018

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Published

2019-01-16

How to Cite

Umar, R., Riadi, I., & Hanif, A. (2019). Analisis Bentuk Pola Suara Menggunakan Ekstraksi Ciri Mel-Frequencey Cepstral Coefficients (MFCC). CogITo Smart Journal, 4(2), 294–304. https://doi.org/10.31154/cogito.v4i2.130.294-304

Issue

Vol. 4 No. 2 (2018): CogITo Smart Journal

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Articles

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