Journal title
Telematika

   
Home  /  Telematika  /  Vol: 18 Núm: 1 Par: 0 (2021)  /  Article
ARTICLE
TITLE

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

SUMMARY

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.

PAGES
pp. 88 - 105
COLLECTIONS
Computing
Technology

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