High performance gamelan analyzer using adaptive waveform pattern matching

Yoyon K. Suprapto*, Vincentius E. Pradhana

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

Exploration of the eastern music such as gamelan is very rare, so its development is far lagged to western music. Estimation of fundamental frequencies and estimation of the envelope are needed to determine the performance of traditional music instrument. We applied Waveform Adaptive Pattern Matching (WAPM) to estimate fundamental frequency which is detected with limited frequency band.The fundamental frequency is estimated by very short recorded gamelan music signal of 45 ms, with accuracy of 0.25 Hz. Besides the fundamental frequency estimation, the invention is useful gamelan tuning the signal envelope. This method is implemented in Android applications to analyze a signal gamelan, thus enhance the portability of the application.

Original languageEnglish
Pages (from-to)13-22
Number of pages10
JournalJournal of Theoretical and Applied Information Technology
Volume71
Issue number1
Publication statusPublished - 1 Jan 2015

Keywords

  • Android
  • Fundamental Frequency
  • Gamelan Music
  • Minimum Absolute Error
  • Waveform Adaptive Pattern Matching

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