Tetsuya Komuro joined RIKEN AIP Music Information Intelligence Team as Senior Visiting Scientist.New content: Wild Birds in Fukushima by the National Institute for Environmental Studies.3 new iPad apps released and 1 re-released.Featured in TV Tokyo’s “Tankyu no kaidan”.Musician Tetsuya Komuro… (READ MORE)
VR concert experience SoundScopePad provides an active music listening experience using AI, virtual reality (VR), and spatial acoustics. Users can find the performer that they want to hear and focus on them by emphasizing their performance. RIKEN’s SoundScopePad provides an… (READ MORE)
Melody variation switcher MelodySlotMachineHD is an application that allows you to experience the possibilities of generating melodies using music structures while playing a slot machine. RIKEN’s MelodySlotMachineHD is an application developed by RIKEN towards the integration of music and AI…. (READ MORE)
The Sound Scope Phone introduces a new way of listening to music that enables you to focus on the part you want to listen to simply by facing the corresponding section and putting your hand on your ear.
Melody Slot Machine features a dial interface which enables users to select a melody from multiple variations to generate a new combination melody.
The GTTMeditor app is an editor used to analyze music structure. The app enables users to view music score files in MusicXML format and edit the time-span tree in GTTM theory.
An interactive music system that provides an experience of manipulating a music performance
The 15th International Symposium on Computer Music Multidisciplinary Research Theme: AI Era 15-19 November 2021 https://www.cmmr2021.gttm.jp/
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)
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)
List of awards and articles
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)
Masatoshi Hamanaka received PhD degree from the University of Tsukuba, Japan, in 2003. He is currently a leader of Music Information Intelligence team in Center for Advanced Intelligence Project, RIKEN. His research interest is in music information technology, biomedical and unmanned aircraft systems…. (READ MORE)
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.
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)
Our goal is to construct an automatic musical arrangement system by applying analysis results of composers’ arrangement processes. We arranged an orchestral score for a solo pianist to evaluate our system. Usually, an orchestral score has several instrumental parts, which… (READ MORE)
We describe the technique for automatically constructing the network which indicates the relationship between bands and musicians from the Web pages. And we also present the applications of the network for the recommendation and the classification of bands. The relation… (READ MORE)
This paper describes a jam session system that enables a human player to interplay with virtual players which can imitate the player personality models of various human players. Previous systems have parameters that allow some alteration in the way virtual… (READ MORE)
Fingering Simulator optimizes guitar fingering of monophony by using physical simulator called Springhead2. Unlike most previous guitar fingering optimization systems focusing on moving distances, our method deals with the torque of the finger joints. Experimental results showed that the maximum… (READ MORE)
This paper describes the Sound Scope Headphones which enable the user to control an audio mixer through natural movements of the head and hands. This allows musical novices to interact closely with the music they listen to. Commercial audio mixers… (READ MORE)
This paper describes a novel audio only interface for selecting music which enables us to select songs without having to click a mouse. Using previous music players with normal headphones, we can hear only one song at a time and… (READ MORE)
The ShakeGuitar is an interactive music system for use with iPhone / iPod touch that enables users to enjoy the simulated experience of guitar playing, even if they are musical novices. Shaking the iPhone / iPod touch with varying degrees… (READ MORE)