2015 : High performance gamelan analyzer using adaptive waveform pattern matching
Dr. Ir. Yoyon Kusnendar Suprapto MSc.
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.