Keiji Hirata — accepted AI-conference papers

2019

Transdrums: A Drum Pattern Transfer System Preserving Global Pattern Structure

Shun Sawada, Satoru Fukayama, Masataka Goto, Keiji Hirata

ICASSP 2019accepted

This paper presents TransDrums, which is a system that transfers drum patterns from a drum-pattern-source song (D-song) to a base song (B-song) and synthesizes the audio with the substituted drum pattern. Typical drum parts consist of multiple drum patterns that are concatenated to form a structure…

Cited by 0 Source ↗Scholar ↗

2016

Tree-structured probabilistic model of monophonic written music based on the generative theory of tonal music

Eita Nakamura, Masatoshi Hamanaka, Keiji Hirata, Kazuyoshi Yoshii

ICASSP 2016accepted

This paper presents a probabilistic formulation of music language modelling based on the generative theory of tonal music (GTTM) named probabilistic GTTM (PGTTM). GTTM is a well-known music theory that describes the tree structure of written music in analogy with the phrase structure grammar of natu…

Cited by 22 Source ↗Scholar ↗