Good Morning to Good Night Greeting Classification Using Mel Frequency Cepstral Coefficient (MFCC) Feature Extraction and Frame Feature Selection

Good Morning to Good Night Greeting Classification Using Mel Frequency Cepstral Coefficient (MFCC) Feature Extraction and Frame Feature Selection

Purpose: Select the right features on the frame for good accuracyDesign/methodology/approach: Extraction of Mel Frequency Cepstral Coefficient (MFCC) Features and Selection of Dominant Weight Normalized (DWN) FeaturesFindings/result: The accuracy results show that the MFCC method with the 9th frame...

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Bibliographic Details
Main Author: Heriyanto Heriyanto
Format: Article
Language:Indonesian
Published: Universitas Pembangunan Nasional "Veteran" Yogyakarta 2021-03-01
Series:Telematika
Subjects:
extraction of features
features
frames
cepstral coefficient
linear
Online Access:http://jurnal.upnyk.ac.id/index.php/telematika/article/view/4495

Internet

http://jurnal.upnyk.ac.id/index.php/telematika/article/view/4495

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