Adaptive pitch control for robot thereminist using unscented Kalman filter

Takeshi Mizumoto; Toru Takahashi; Tetsuya Ogata; Hiroshi G. Okuno

doi:10.1007/978-3-642-30732-4_3

Adaptive pitch control for robot thereminist using unscented Kalman filter

Takeshi Mizumoto^*, Toru Takahashi, Tetsuya Ogata, Hiroshi G. Okuno

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

We present an adaptive pitch control method for a theremin playing robot in ensemble. The problem of the theremin playing is its sensitivity to the environment. This degrades the pitch accuracy because its pitch characteristics are time varying caused by, such as a co-player motion during the ensemble. We solve this problem using a state space model of this characteristics and an unscented Kalman filter. Experimental results show that our method reduces the pitch error the EKF and block-wise update method by 90% and 77% on average, and the robot can play a musical score of 72.9 cent error on average.

Original language	English
Title of host publication	Modern Advances in Intelligent Systems and Tools
Publisher	Springer Verlag
Pages	19-24
Number of pages	6
ISBN (Print)	9783642307317
DOIs	https://doi.org/10.1007/978-3-642-30732-4_3
Publication status	Published - 2012
Externally published	Yes

Publication series

Name	Studies in Computational Intelligence
Volume	431
ISSN (Print)	1860-949X

ASJC Scopus subject areas

Artificial Intelligence

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10.1007/978-3-642-30732-4_3

Cite this

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title = "Adaptive pitch control for robot thereminist using unscented Kalman filter",

abstract = "We present an adaptive pitch control method for a theremin playing robot in ensemble. The problem of the theremin playing is its sensitivity to the environment. This degrades the pitch accuracy because its pitch characteristics are time varying caused by, such as a co-player motion during the ensemble. We solve this problem using a state space model of this characteristics and an unscented Kalman filter. Experimental results show that our method reduces the pitch error the EKF and block-wise update method by 90% and 77% on average, and the robot can play a musical score of 72.9 cent error on average.",

author = "Takeshi Mizumoto and Toru Takahashi and Tetsuya Ogata and Okuno, {Hiroshi G.}",

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language = "English",

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T1 - Adaptive pitch control for robot thereminist using unscented Kalman filter

AU - Mizumoto, Takeshi

AU - Takahashi, Toru

AU - Ogata, Tetsuya

AU - Okuno, Hiroshi G.

PY - 2012

Y1 - 2012

N2 - We present an adaptive pitch control method for a theremin playing robot in ensemble. The problem of the theremin playing is its sensitivity to the environment. This degrades the pitch accuracy because its pitch characteristics are time varying caused by, such as a co-player motion during the ensemble. We solve this problem using a state space model of this characteristics and an unscented Kalman filter. Experimental results show that our method reduces the pitch error the EKF and block-wise update method by 90% and 77% on average, and the robot can play a musical score of 72.9 cent error on average.

AB - We present an adaptive pitch control method for a theremin playing robot in ensemble. The problem of the theremin playing is its sensitivity to the environment. This degrades the pitch accuracy because its pitch characteristics are time varying caused by, such as a co-player motion during the ensemble. We solve this problem using a state space model of this characteristics and an unscented Kalman filter. Experimental results show that our method reduces the pitch error the EKF and block-wise update method by 90% and 77% on average, and the robot can play a musical score of 72.9 cent error on average.

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T3 - Studies in Computational Intelligence

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EP - 24

BT - Modern Advances in Intelligent Systems and Tools

PB - Springer Verlag

ER -

Adaptive pitch control for robot thereminist using unscented Kalman filter

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