Danang Trijatmiko, Aviv Yuniar Rahman, Istiadi
Speech-impaired children really need attention in education and socially in everyday life. Exceptional education grows from an early awareness that some children need a different education from ordinary education to reach their potential. A speech disorder is the inability of a person to speak. This is caused by the lack or non-functioning of the organs for speaking, such as the oral cavity, roof of the mouth, tongue, and vocal cords. In addition, there are also deficiencies in the sense of hearing, delays in language development, and damage to the nervous system and muscle structure. Therefore, researchers designed a speech classification system for speech-impaired children using SVM based on the MFCC kernel. The purpose of this research is to detect and classify the voices of speech-impaired children using the SVM method with the MFCC kernel. In the tests carried out, it can be concluded that the classification of speech-impaired children can use the Linear kernel SVM method. The results of the classification of blind children are very high, reaching 84.7%. The Linear SVM method can help improve the accuracy of the voice classification of speech-impaired children properly. So that in the classification of speech-impaired children using the Linear SVM method, it can help to be used in communicating with speech-impaired children. © 2023 IEEE.
Universitas Widyagama Malang, Department of Informatic Engineering, Malang, Indonesia
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