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.
An interactive music system that provides an experience of manipulating a music performance
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)
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)
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)
BandNaviVer. 1.1Language: Japanese, EnglishNewForestar Co,.Ltd A band-member-backtracking application called BandNavi has been developed that enables a user to discover new songs and bands by tracing musicians who have played in different bands．Previous similarity-based song recommendation systems only retrieve similar songs,… (READ MORE)
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)
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)
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 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)