MFCC dan KNN untuk Pengenalan Suara Artikulasi P

AVITEC

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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
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier http://ejournals.stta.ac.id/index.php/avitec/article/view/605
10.28989/avitec.v2i1.605
 
Source AVITEC; Vol 2, No 1 (2020): Februari 2020; 13-20
2715-2626
2685-2381
10.28989/avitec.v2i1
 
Language eng
 
Relation http://ejournals.stta.ac.id/index.php/avitec/article/view/605/pdf
 
Rights Copyright (c) 2020 AVITEC
 

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