Good Morning to Good Night Greeting Classification Using Mel Frequency Cepstral Coefficient (MFCC) Feature Extraction and Frame Feature Selection
| Main Author: | Heriyanto, Heriyanto |
|---|---|
| Format: | Article info application/pdf eJournal |
| Bahasa: | eng |
| Terbitan: |
Jurusan Teknik Informatika
, 2021
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| Subjects: | |
| Online Access: |
http://jurnal.upnyk.ac.id/index.php/telematika/article/view/4495 http://jurnal.upnyk.ac.id/index.php/telematika/article/view/4495/3348 http://jurnal.upnyk.ac.id/index.php/telematika/article/downloadSuppFile/4495/354 |
Daftar Isi:
- 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 selection has a higher accuracy rate of 85% compared to other frames.Originality/value/state of the art:Selection of the appropriate features on the frame.