Aviation Electronics, Information Technology, Telecommunications, Electricals, Controls (AVITEC)
Vol 2, No 1 (2020): February

MFCC dan KNN untuk Pengenalan Suara Artikulasi P

Akhmad Anggoro (Universitas Gadjah Mada)
Samiadji Herdjunanto (Universitas Gadjah Mada)
Risanuri Hidayat (Universitas Gadjah Mada)

Article Info

Publish Date
20 Jan 2020

Abstract

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%.

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Journal Info
Aviation Electronics, Information Technology, Telecommunications, Electricals, Controls (AVITEC)
Website

Abbrev

avitec

Publisher

Institut Teknologi Dirgantara Adisutjipto

Subject

Aerospace Engineering Computer Science & IT Electrical & Electronics Engineering Engineering

Description

This journal is the scientific publications journal published by Department of Electrical Engineering, Sekolah Tinggi Teknologi Adisutjipto. It aims to promote and disseminate the research finding in the development of management theories and practices. It will provide a platform for academicians, ...