@inproceedings{8579,
  keywords = {Art analysis, Artificial Language Recognition, Artificial Language Recognition, Arts computing, Arts designs, High Performance Computing System, High performance computing systems, Intangible cultural heritage, Intangible cultural heritages, Language recognition, Patterns finding, Recognition algorithm, Speech patterns, Visual Application, Visual applications, Visual languages},
  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.},
  booktitle = {Proc. Int. Conf. Inven. Res. Comput. Appl., ICIRCA},
  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},
}