An automatic calibration system for Chinese karaoke lyrics based on high-level fuzzy Petri nets

Karaoke has become one of the most important leisure activities in the modern life. The traditional karaoke systems require lyrics to be filled in manually, which requires a significant amount of time. Therefore, an automatic method is needed to improve this process. In this paper, we use a generative theory of tonal music and high-level fuzzy Petri nets to complete music segmentation and karaoke calibration automatically. The C# programming language is used to implement the system, and Chinese songs are used. Experiments indicate completely progress in high-level fuzzy Petri nets and show that the final precision is better in the karaoke system. The result of this study may be used in the fields of home entertainment or other relevant systems.