Gabor Filter Methods to Analyze the Influence of Geographic Distance and Folk Song in Java Indonesia

Wella, Wella (2020) Gabor Filter Methods to Analyze the Influence of Geographic Distance and Folk Song in Java Indonesia. In: Fifth International Conference on Informatics and Computing (ICIC), Gorontalo, Indonesia.

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Abstract

Gabor filter as a prominent filter approach ever done in digital audio signal to find cultural diffusion patterns in Indonesia by analyzing folk songs. The topic is interesting and rarely discussed, but unfortunately, several weaknesses still exist in the research, which are the folk songs used is biased, one of the primary theoretical basis is invalid, and the most unfortunate is the sourcebook of the dataset does not have International Standard Book Number, which means the book is unregistered. Therefore, by using identical methods (Gabor filtration), present research would perform some development from the lack of prior research to get better results. This research specified the testing area to improve focus - which is only used provinces in Java Island folk songs, used a valid dataset source, and added several different spectrogram sizes to improve accuracy. Compared to previous, recent research hit better results since it has more significant features and directly proportional relations than before.

Item Type:	Conference or Workshop Item (Paper)
Creators:	Wella, Wella
Contributors:
Keywords:	Audio Signal, Cultural Diffusion, Folk Songs, Gabor Filter, Java Island
Subjects:	000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 006 Special Computer Methods > 006.5 Digital Audio
Divisions:	Faculty of Engineering & Informatics > Information System
Date Deposited:	02 Dec 2025 08:39
URI:	https://kc.umn.ac.id/id/eprint/42544

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