Fatta: Full Automatic Time-Span Tree Analyzer
Fatta: Full Automatic Time-Span Tree Analyzer
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Fatta：全自动时间跨度树分析仪
DOI：
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发表时间：
2007
期刊：
影响因子：
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通讯作者：
S. Tojo
中科院分区：
文献类型：
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作者：
Masatoshi Hamanaka;K. Hirata;S. Tojo
我们开发了一个音乐分析系统，称为全自动时间跨度树分析器(FATA)，它基于调性音乐的生成理论(GTTM)来分析一段音乐。我们之前开发了一个自动时间跨度树分析器(ATTA)，它可以获取GTTM的时间跨度树。虽然ATTA具有用于控制每个规则的权重或优先级的可调整参数，但这些参数必须手动设置。这需要很长时间，因为找到设置本身的最佳值需要很长时间。基于时间生成树的稳定性，通过引入从高层结构到低层结构的反馈环，FATTA可以自动估计最优参数。实验结果表明，Fatta的性能优于ATTA的基线性能。我们希望将时间跨度树作为各种音乐任务的内容分发，例如搜索和编排音乐。
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.