FATTA: FULL AUTOMATIC TIME-SPAN TREE ANALYZER
Masatoshi Hamanaka, Keiji Hirata, Satoshi Tojo · University of Michigan Library Repository · 2007
We developed a music analysis system called a full automatic time-span tree analyzer (FATTA), which analyzes a piece of music based on the generative theory of tonal music (GTTM). We previously developed an automatic time-span tree analyzer (ATTA), which can acquire a time-span tree of GTTM. Although the ATTA has adjustable parameters for controlling the weight or the priority of each rule, these parameters have to be set manually. This takes a long time because finding the optimal values of the settings themselves takes a long time. The FATTA can automatically estimate the optimal parameters by introducing a feedback loop from higher-level structures to lower-level structures based on the stability of the time-span tree. Experimental results showed that the performance of FATTA outperformed a baseline performance of the ATTA. We hope to distribute the time-span tree as the content for various musical tasks, such as searching and arranging music. 1.