Name : Rafie Email : [email protected]
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Voice identification is based on accents with feature extraction MFCC, Chroma, Spectral, ZCR and RMS-Energy, classified with svm multiclas. Feature extraction totaling 25 features are used in pattern recognition. The dataset used is Indonesian regional voice data, namely Dayak and Banjar variants. The identification results succeeded in detectin…
Rafie93/identification_voice_accent
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Voice identification is based on accents with feature extraction MFCC, Chroma, Spectral, ZCR and RMS-Energy, classified with svm multiclas. Feature extraction totaling 25 features are used in pattern recognition. The dataset used is Indonesian regional voice data, namely Dayak and Banjar variants. The identification results succeeded in detectin…
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