Presentation 2012-10-11
A method based on reinforcement learning to improve 3D sound localization
Shuhei MORIOKA, Isao NAMBU, Shohei YANO, HARUHIDE Hokari, Yasuhiro WADA,
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Abstract(in English) Although recent studies on out-of-head sound localization technology have been aimed at applications in entertainment, this technology can also be used to provide an interface to connect a computer to the human brain. An effective out-of-head system requires an accurate head-related transfer function (HRTF). However, it is difficult to measure HRTF accurately. We propose a new method based on reinforcement learning to estimate HRTF accurately from measurement data and validate it through simulations. We used the actor-critic paradigm to learn the HRTF parameters and the autoregressive moving average (ARMA) model to reduce the number of such parameters. Our simulations suggest that an accurate HRTF can be estimated with this method.
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Keyword(in English) HRTF / out-of-head sound localization / BMI / Reinforcement learning
Paper # MBE2012-41
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Committee MBE
Conference Date 2012/10/4(1days)
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Registration To ME and Bio Cybernetics (MBE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A method based on reinforcement learning to improve 3D sound localization
Sub Title (in English)
Keyword(1) HRTF
Keyword(2) out-of-head sound localization
Keyword(3) BMI
Keyword(4) Reinforcement learning
1st Author's Name Shuhei MORIOKA
1st Author's Affiliation Faculty of Engineering, Nagaoka University of Technology()
2nd Author's Name Isao NAMBU
2nd Author's Affiliation Faculty of Engineering, Nagaoka University of Technology
3rd Author's Name Shohei YANO
3rd Author's Affiliation Nagaoka National Colledge of Technology
4th Author's Name HARUHIDE Hokari
4th Author's Affiliation Faculty of Engineering, Nagaoka University of Technology
5th Author's Name Yasuhiro WADA
5th Author's Affiliation Faculty of Engineering, Nagaoka University of Technology
Date 2012-10-11
Paper # MBE2012-41
Volume (vol) vol.112
Number (no) 232
Page pp.pp.-
#Pages 6
Date of Issue