MFCC dan KNN untuk Pengenalan Suara Artikulasi P


View Publication Info
Field Value
Title MFCC dan KNN untuk Pengenalan Suara Artikulasi P
Creator Anggoro, Akhmad
Herdjunanto, Samiadji
Hidayat, Risanuri
Subject Elektro, signal processing, speech and pattern recognition, Cleft Lip and Palate
Cleft Lip Palate. MFCC, KNN, K-Fold cross-validation
Description Cleft lip and palate (CLP) is a term for patients who experience speech organ disorders, that disorder is caused by a gap found in the lip or palate. Patients will experience speech problems. Pattern recognition in CLP sound is still small in Indonesia. In this research in the language identification of CLP and standard sound patterns using the extraction of the Mel Frequency Cepstral Coefficients (MFCC) feature with K-Nearest Neighbor (KNN) classification and K-Fold cross-validation. By making words that have the letter /p/ as a reference, known as bilabial. The words used include Paku, Kapak, and Atap. The accuracy of recognition results reached more than 69%, with a minimum accuracy of 41%.
Publisher Sekolah Tinggi Teknologi Adisutjipto
Contributor Universitas Gadjah Mada
Samiadji Herdjunanto
Risanuri Hidayat
Nisa Farhana
ibu rita
Siti Agrippina Alodia Yusuf
Terapi wicara Indonesia

Date 2020-01-20
Type info:eu-repo/semantics/article
Peer-reviewed Article
Format application/pdf
Source AVITEC; Vol 2, No 1 (2020): Februari 2020; 13-20
Language eng
Rights Copyright (c) 2020 AVITEC

Contact Us

The PKP Index is an initiative of the Public Knowledge Project.

For PKP Publishing Services please use the PKP|PS contact form.

For support with PKP software we encourage users to consult our wiki for documentation and search our support forums.

For any other correspondence feel free to contact us using the PKP contact form.

Find Us


Copyright © 2015-2018 Simon Fraser University Library