• The Journal of the Korea Contents Association
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• v.13 no.10
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• pp.181-188
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• 2013

Have been so many times to attempt to enhance the usefulness and convenience about using the sample sound of Korean traditional instruments. Was determined additionally VST plug-sequencer and sample libraries, a variety of methodologies, but did not lead to practical use. This study is a work in order to increase the usability of sample sound of Korean instruments. We have developed sound samples of Haegeum and Daegeum based on most widely used Kontakt sampler. Have aimed to develop sound samples for accompanying with useful function supported by Kontakt sampler helping various musical expressions.

• Koreanishche Zeitschrift fur Deutsche Sprachwissenschaft
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• v.10
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• pp.67-95
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• 2004

In diesel Albeit wird belegt, dass sich die Entstehung des Germanischen nicht als organische, $ausschlie{\ss}lich$ intern motivierte Weiterentwicklung des $Indoeurop\"{a}ischen$ verstehen $l\"{a}sst$, sondern dass substraie und superstrale Kontaktsprachen, bzw. Kontakt-sprachfamilien an seiner Entstehung beteiligt waren, namlich das mitl dem heutigen Baskischen verwandte Vaskonische und das mit dem heutigen Hamito-Semitischen verwandte Atlantische. Als Beweise $f\"{u}r$ $nicht-indoeurop\"{a}ische$ Kontakte des $Indoeurop\"{a}ischen$ werden $angef\"{u}hrt$ die Lexik und Strukturmerkmale der Ortsnamen, der $gro{\ss}e$ nicht aus dem Indoeuropaischen deutbare Anteil des Wortschatzes, der Initialakzent, die Systematisierung des Ablauts in starken Verben und die Spaltung der Wortstellung. Dabei wird deutlich, dass das Germanische ist substral vaskonisiertes, superstral semitisiertes $Indoeurop\"{a}isch$ ist.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.4
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• pp.1869-1886
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• 2018

This paper proposes a MIDI- and audio-based music genre classification method for Korean traditional music. There are many traditional instruments in Korea, and most of the traditional songs played using the instruments have similar patterns and rhythms. Although music information processing such as music genre classification and audio melody extraction have been studied, most studies have focused on pop, jazz, rock, and other universal genres. There are few studies on Korean traditional music because of the lack of datasets. This paper analyzes raw audio and MIDI phrases in Korean traditional music, performed using Korean traditional musical instruments. The classified samples and MIDI, based on our classification system, will be used to construct a database or to implement our Kontakt-based instrument library. Thus, we can construct a management system for a Korean traditional music library using this classification system. Appropriate feature sets for raw audio and MIDI phrases are proposed and the classification results-based on machine learning algorithms such as support vector machine, multi-layer perception, decision tree, and random forest-are outlined in this paper.