@inproceedings{1153,
  keywords = {Intangible cultural heritages, Intangible cultural heritage, Arts computing, Arts designs, High performance computing systems, Visual languages, Art analysis, Artificial language recognition, Artificial Language Recognition, High Performance Computing System, Language recognition, Patterns finding, Recognition algorithm, Speech patterns, Visual Application, Visual applications},
  author = {M. Zhou and N. Fang},
  title = {High-performance computing system and smart speech pattern findings for intangible cultural heritage art analysis considering visual information},
  abstract = {This paper studies the visual application of highperformance computing systems and artificial language recognition in intangible cultural heritage art design. First, this article introduces the advantages, disadvantages, problems and performance evaluation of high-performance computing systems in the new era. Then, a high-performance computer-based artificial language recognition algorithm is used to classify and recognize intangible cultural heritage art. Finally, use the network database and artificial language recognition algorithm to visualize the intangible cultural heritage art design.},
  year = {2021},
  pages = {1199-1202},
  publisher = {Institute of Electrical and Electronics Engineers Inc.},
  school = {Institute of Electrical and Electronics Engineers Inc.},
  isbn = {9780738146270 (ISBN)},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116864831&doi=10.1109%2fICIRCA51532.2021.9544576&partnerID=40&md5=d39962c7190830d357b657938c8589eb},
  doi = {10.1109/ICIRCA51532.2021.9544576},
  note = {Journal Abbreviation: Proc. Int. Conf. Inven. Res. Comput. Appl., ICIRCA},
  language = {English},
}