文章基本信息

标题：SARON MUSIC TRANSCRIPTION USING LPF-CROSS CORRELATION
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作者：YOYON K SUPRAPTO ; DIAH PUSPITO WULANDARI ; ARIS TJAHJANTO 等
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2011
卷号：32
期号：1
页码：71-79
出版社：Journal of Theoretical and Applied
摘要：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.
关键词：Saron Time And Frequency Model; LPF Cross-Correlation; Saron Extraction; Music