Manual time-span generation tool (2018) 国際会議論文 [PDF] [GTTM] [分析データ・ツール] Masatoshi Hamanaka, Keiji Hirata, Satoshi Tojo: “GTTM Database and Manual Time-span Tree Generation Tool”, Proceedings of the 15th Sound and Music Computing Conference (SMC2018), pp.462-467, July 2018. [PDF] [GTTM] [分析データ・ツール] Masatoshi Hamanaka, Keiji… (READ MORE)


国際会議論文 [GTTM] [演奏支援] Nami Iino, Mayumi Shimada, Takuichi Nishimura, Hideki Takeda, Masatoshi Hamanaka: “Proposal of an Annotation Method for Integrating Musical Technique Knowledge Using a GTTM Time-Span Tree”, Proceedings of the 25th International Conference on MultiMedia Modeling (MMM2019), Lecture Notes in Computer… (READ MORE)

deep GTTM

International conference paper [PDF] [GTTM] [Deep GTTM] Masatoshi Hamanaka, Keiji Hirata, Satoshi Tojo: deepGTTM-II: Automatic Generation of Metrical Structure based on Deep Learning Technique, 13th Sound and Music Conference (SMC2016), pp.221-249, 2016. [PDF] [GTTM] [Deep GTTM] Masatoshi Hamanaka, Keiji Hirata,… (READ MORE)

Structures of films

References [PDF] Seiko Takeuchi, Masatoshi Hamanaka, Junichi Hoshino: “Method of structuring a film based on the Generative Theory of Tonal Music”, IPSJ Special Interest Group on Human Computer Interaction, 2015-HCI-162, No. 6, 8 pages, March 2015. [PDF] [Structures of films] [exGTTM] Seiko Takeuchi, Masatoshi Hamanaka: “Structure… (READ MORE)

Separation of music signal sources

This  research  proposes  a  method  to  separate  polyphonic music signal into  signals of  each  musical instrument by NMF: Non-negative Matrix Factorization based on preservation of spectrum envelope.

Music Analysis based on Implication-Realization Model

We propose a melody generation system based on the Implication-Realization Model (IRM) of music theory. The IRM is a music theory, which was proposed by Eugene Narmour. The IRM abstracts music. It then expresses music according to symbol sequences based… (READ MORE)

Discussion structure editor based on music theory

The discussion structure editor generates time-span trees expressing degree of importance of statements. 会議記録の自動要約には、会議の流れや重要発言の認識といった、会議記録の分析が必要です. 本研究では、音楽の分析手法であるGTTMを応用して、会議記録の分析方法の構築を行っています. 音楽においては音イベントが、会議においては発言が時間の進行とともに発生し、ゲシュタルトを生成する相似点に着目しています。 References [PDF] Hiroya Miura, Kenta Togashi, Masatoshi Hamanaka, Katashi Nagao, Satoshi Tojo, Keiji Hirata: “音楽理論を応用したディスカッションマイニングにおけるタイムスパン木と延長木の自動生成について”, IPSJ SIG Digital Contents Creation, Vol. 2013-DCC-3, No.10, January 2013…. (READ MORE)

Polyphonic Music Time-Span Tree Analyzer

We have been developing a music analysis system called a polyphonic music time-span tree analyzer (PTTA). A time-span tree assigns a hierarchy of ‘structural importance’ to the notes of a piece of music on the basis of the Generative Theory… (READ MORE)

Melody expectation method based on GTTM and TPS

A method that predicts the next notes is described for assisting musical novices to play improvisations. Melody prediction is one of the most difficult problems in musical information retrieval because composers and players may or may not create melodies that… (READ MORE)

Melody morphing method based on GTTM

ShakeGuitar (Free), based on the morphing method, is available on App Store (Released on September 26, 2009) This paper describes a melody morphing method that generates an intermediate melody between a melody and another melody with a systematic order according… (READ MORE)

σGTTM System

σGTTM combines the generative theory of tonal music (GTTM) and statistical learning. We previously devised exGTTM, which has accommodated the original GTTM to computer implementations. The exGTTM has adjustable parameters, these parameters have to be manually configured. Therefore, it is… (READ MORE)

Interactive GTTM Analyzer

This paper describes an automatic grouping system, which segments the music into units such as phrases or motives, based on the Generative Theory of Tonal Music (GTTM in short, hereafter). The GTTM is considered to be one of the most… (READ MORE)

An Automatic Grouping of Polyphony

This paper presents a method of grouping that provides a way to automatically analyze the grouping structure of polyphony. Sets of grouping rules have been applied in previous methods, but these methods were not capable of resolving contradictions among the… (READ MORE)

Learning-based Quantization

This paper describes a method for organizing onset times of musical notes performed along a jam-session accompaniment into the normalized (quantized) positions in a score. The purpose of this study is to align onset times of a session recording to… (READ MORE)