Yasushi Kurakake
Yamaha Corporation
33 Papers
578 Citations
Yasushi Kurakake is an academic researcher from Yamaha Corporation. The author has contributed to research in topics: Musical instrument & Musical tone. The author has an hindex of 11, co-authored 33 publications.
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Papers
Patent
Method of visualizing music system by combination of scenery picture and player icons
Akira Yamauchi,Manabu Kawada,Yasuhiko Okamura,Yasushi Kurakake,Kenichiro Saito,Yoshiko Fukushima +5 more
- 07 Jun 1999
TL;DR: In this paper, a method is designed for displaying a visual image of a music system that is constructed to play at least one performance part with a particular timbre and that is applied with an acoustic effect, an accompaniment style and the like.
95
Musical tone generating apparatus
TL;DR: In this article, a musical tone generating apparatus utilizing a data compression method is disclosed, in which a tone is sampled and converted into waveform data (S(n)) by a linear predictive coding method and further by a differential quantization method.
80
Tone visualizing apparatus
TL;DR: A tone visualizing apparatus for visualizing an inputted audio signal to thereby display an image corresponding to this audio signal includes at least a detector, image display (such as a CRT display unit) and display controller.
63
Patent
Music data processing apparatus with communication interface and graphic user interface
Yasushi Kurakake
- 07 Oct 1997
TL;DR: In this article, a terminal apparatus is connected to a host station and is responsive to a command to execute an application program to treat music data, and a controller operates when the interface establishes the communication with the host station for downloading the new version from the remote storage of the host stations and for transferring the downloaded new version to the local storage so as to renew the old version stocked in the local storages.
50
Patent
Musical tone generating apparatus with reduced data storage requirements
Hideo Suzuki,Masaki Kudo,Yasushi Kurakake +2 more
- 13 Apr 1987
TL;DR: In this paper, a musical tone is sampled and converted into waveform data, which are then compressed into compressed data by a linear predictive coding method and further by a differential quantization method.
39