Saron music transcription using LPF-cross correlation

Nowadays, mining of traditional music attracts people's interests in several aspects since the importance of archiving national heritage is emphasized. Unfortunately, there have been very few researches which analyzed traditional music instruments and their performances. Gamelan, one of Indonesia's traditional music instruments, has uniqueness in terms of its hand-made construction which in turn induces variations in frequency, amplitude, and resonance. These conditions have detained the exploration and development of gamelan music itself. This research initiates gamelan sound extraction for music transcription as part of traditional music analysis. Spectral density model was constructed to extract the sound of an instrument from the gamelan ensemble performance by using LPF cross correlation (LPF-CC). The extracted sound was analyzed to generate notations. The experiment demonstrates 5-16% note error rate.