ATTA: Automatic Time-Span Tree Analyzer Based on Extended GTTM

This paper describes a music analyzing system called the automatic time-span tree analyzer (ATTA), which we have developed. The ATTA derives a time-span tree that assigns a hierarchy of 'structural importance' to the notes of a piece of music based on the generative theory of tonal music (GTTM). Although the time-span tree has been applied with music summarization and collaborative music creation systems, these systems use time-span trees manually analyzed by experts in musicology. Previous systems based on GTTM cannot acquire a timespan tree without manual application of most of the rules, because GTTM does not resolve much of the ambiguity that exists with the application of the rules. To solve this problem, we propose a novel computational model of the GTTM that re-formalizes the rules with computer implementation. The main advantage of our approach is that we can introduce adjustable parameters, which enables us to assign priority to the rules. Our analyzer automatically...

• Type: Conference
• Year: 2005
• Where: ISMIR
• Authors: Masatoshi Hamanaka, Keiji Hirata, Satoshi Tojo
• Keywords: Information Retrieval, ISMIR 2005, Music, Time-span Tree, Time-span Tree Analyzer