[PDF][PDF] deepGTTM-II: automatic generation of metrical structure based on deep learning technique

M Hamanaka, K Hirata, S Tojo - 13th Sound and Music Conference, 2016 - gttm.jp
This paper describes an analyzer that automatically generates the metrical structure of a
generative theory of tonal music (GTTM). Although a fully automatic time-span tree analyzer …

deepGTTM-I&II: Local boundary and metrical structure analyzer based on deep learning technique

M Hamanaka, K Hirata, S Tojo - … , CMMR 2016, São Paulo, Brazil, July 5–8 …, 2017 - Springer
This paper describes an analyzer for detecting local grouping boundaries and generating
metrical structures of music pieces based on a generative theory of tonal music (GTTM) …

deepgttm-iii: Multi-task learning with grouping and metrical structures

M Hamanaka, K Hirata, S Tojo - … 25-28, 2017, Revised Selected Papers 13, 2018 - Springer
This paper describes an analyzer that simultaneously learns grouping and metrical
structures on the basis of the generative theory of tonal music (GTTM) by using a deep …

[PDF][PDF] Interactive Gttm Analyzer.

M Hamanaka, S Tojo - ISMIR, 2009 - gttm.jp
We describe an interactive analyzer for the generative theory of tonal music (GTTM).
Generally, a piece of music has more than one interpretation, and dealing with such …

[PDF][PDF] Automatic generation of metrical structure based on GTTM

M Hamanaka, K Hirata, S Tojo - ICMC, 2005 - fun.ac.jp
This paper describes an automatic system of music analysis based on the generative theory
of tonal music (GTTM). The system works by acquiring the metrical structure of the music …

Implementing “A generative theory of tonal music”

M Hamanaka, K Hirata, S Tojo - Journal of New Music Research, 2006 - Taylor & Francis
This paper proposes a music analysing system called the automatic time-span tree analyser
(ATTA). ATTA derives a time-span tree that assigns a hierarchy of “structural importance” to …

[PDF][PDF] GTTM database and manual time-span tree generation tool

M Hamanaka, K Hirata, S Tojo - Proceedings of the 15th Sound and Music …, 2018 - gttm.jp
This paper describes the publication of a musical structure analysis database and a tool for
manually generating time-span trees on the basis of the generative theory of tonal music …

[PDF][PDF] FATTA: Full automatic time-span tree analyzer

M Hamanaka, K Hirata, S Tojo - ICMC, 2007 - gttm.jp
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 III: Learning-Based Time-Span Tree Generator Based on PCFG

M Hamanaka, K Hirata, S Tojo - International Symposium on Computer …, 2015 - Springer
An automatic analyzer based on the generative theory of tonal music (GTTM) for acquiring a
time-span tree is described. Although an analyzer based on GTTM was previously reported …

Learning hierarchical metrical structure beyond measures

J Jiang, D Chin, Y Zhang, G Xia - arXiv preprint arXiv:2209.10259, 2022 - arxiv.org
Music contains hierarchical structures beyond beats and measures. While hierarchical
structure annotations are helpful for music information retrieval and computer musicology …