02168nas a2200397   4500000000100000000000100001000000100002008004100003260000800044653003400052653002300086653002100109653002100130653002400151653002800175653001100203653002400214653004000238653002300278653002300301653004000324653003200364653002000396653001700416100001400433700002200447700002300469700002000492700001900512245005600531856014800587300001200735490000700747520099600754022002001750       2017                            d  cfeb10aIntangible cultural heritages10aIntangible culture10amachine learning10aLearning systems10aPattern recognition10aSupport vector machines10aRobots10aIntelligent machine10aMulti-class support vector machines10aSpeech recognition10aExtracted energies10aMel-frequency cepstral coefficients10aMusic information retrieval10aPuppet theaters10aWayang kulit1 aTito Tomo1 aAlexander Schmitz1 aGuillermo Enriquez1 aShuji Hashimoto1 aShigeki Sugano00aWayang Robot with Gamelan Music Pattern Recognition  uhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85013880391&doi=10.20965%2fjrm.2017.p0137&partnerID=40&md5=4ca47c7a752abe03a80b8599ff3bc2c2  a137-1450 v293 aThis paper proposes a way to protect endangered wayang puppet theater, an intangible cultural heritage from Indonesia, by turning a robot into a puppeteer successor. We developed a seven degrees-offreedom (DOF) manipulator to actuate the sticks attached to the wayang puppet body and hands. The robot can imitate 8 distinct human puppeteer’smanipulations. Furthermore, we developed a gamelan music pattern recognition, towards a robot that can perform based on the gamelan music. In the offline experiment, we extracted energy (time domain), spectral rolloff, 13 Mel-frequency cepstral coefficients (MFCCs), and the harmonic ratio from 5 s long clips, every 0.025 s, with a window length of 1 s, for a total of 2576 features. Two classifiers (3 layers feed-forward neural network (FNN) and multi-class Support Vector Machine (SVM)) were compared. The SVMclassifier outperformed the FNN classifier with a recognition rate of 96.4\%for identifying the three different gamelan music patterns.  a09153942 (ISSN)