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第22回 ロボット聴覚特集 - 奥乃研究室 - 京都大学

第22回 ロボット聴覚特集 - 奥乃研究室 - 京都大学

第22回 ロボット聴覚特集 - 奥乃研究室 - 京都大学

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3 HLDAMLLR [3] (Useful Information Extraction; UIE) (useful dimension) (nuisance dimension) HLDA[5] HLDA useful dimension nuisance dimension ( (1)) L(x i |μ j Σ j θ)= − 1 N∑{(θ T x i − μ g(i) ) T Σ −12g(i) (θT x i − μ g(i) )i=1+ log((2π) n |Σ g(i) |)} +log|θ| (1)θ μ j Σ j j g(i) x i g(i) 4 .4.1 Figure 3 3 1 : P 1 : X 2 : P 1 : Y Xcurtain-90degY1.1 mPosition 22.8 m1.4 m5.9 m1 m1 mPosition 12.2 m2.3 mFigure 3: Recording enveiroment10deg30deg0degforward4.2 m4.2 mLoudSpeaker Position●Robot Position ■+90degFigure 4: Direction of arrival to be recognized 3 : P 2 : Y 10 (226ms232ms237ms238ms246ms267ms282ms318ms326ms395ms) 3 10 30 Figure 4 11 (−90deg−60deg−30deg−20deg−10deg0deg10deg20deg30deg60deg90deg) 0deg4.2 ATR 10 10 ( 100 ) 32 kHz 16bit 90 10 10 100 91

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