@article{1540,
  keywords = {Intangible cultural heritages, Intangible culture, machine learning, Learning systems, Pattern recognition, Support vector machines, Robots, Intelligent machine, Multi-class support vector machines, Speech recognition, Extracted energies, Mel-frequency cepstral coefficients, Music information retrieval, Puppet theaters, Wayang kulit},
  author = {Tito Tomo and Alexander Schmitz and Guillermo Enriquez and Shuji Hashimoto and Shigeki Sugano},
  title = {Wayang Robot with Gamelan Music Pattern Recognition},
  abstract = {This 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.},
  year = {2017},
  journal = {Journal of Robotics and Mechatronics},
  volume = {29},
  number = {1},
  pages = {137-145},
  month = {feb},
  issn = {09153942 (ISSN)},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85013880391&doi=10.20965%2fjrm.2017.p0137&partnerID=40&md5=4ca47c7a752abe03a80b8599ff3bc2c2},
  doi = {10.20965/jrm.2017.p0137},
  note = {Publisher: Fuji Technology Press},
  language = {English},
}