情報処理学会研究報告 IPSJ SIG Technical Report Vol.2014-MUS-104 No /8/26 1,a) Music Structure and Composition with Sound Directivity in 3D Space

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1 1,a) Music Structure and Composition with Sound Directivity in 3D Space Riki Ishino 1,a) Yusuke Naka 1 Yuya Yoshida 1 Yusuke Matsui 2 Tomoko Yonezawa 2 Abstract: In this research, we propose a novel loop-sequential music with sound directivity for each note. The performance system has two parametric speakers with two degrees of freedom for each speaker in order to create a spatial acoustic field for each note. We adopted an intuitive gestural input using Kinect in order to give each directional sound for real-time composition. Keywords: Spatial acoustics,interior acoustic design,real time composition,loop music,parametric speaker Kansai University Graduate School of Informatics, Ryozenji-cho, Takatsuki-shi, Osaka, , Japan 2 Kansai University Faculty of Informatics, Ryozenjicho, Takatsuki-shi, Osaka, , Japan a) k957371@kansai-u.ac.jp 5.1ch 1

2 *8 1 2 Fig. 2 Parametric speaker in this paper 2. 1 Fig. 1 Performance image 1.3 [2], [3] [1] [4] [5] [6] [7] [8] [9] X-Media Galaxy [10] 3 [11] [12] 2

3 Arduino Mega Fig. 4 System detail 3 Fig. 3 System schema *8 PC Arduino Arduino1 PWM AC PC 8*8 Arduino PC 5 5 Fig. 5 Parametric speaker and servo motor 3

4 3.2.3 ԋ ஔ ԋ ஔ 8*8 ͷωʔϙʔυϛτϧϋεʹα Ε Δɽ8 8 ߦʹ Ε ΕλΫτεΠονΛಉ ʹ ஔ ϚτϦοΫεΛ ΓɼArduino Mega ʹΑΔҰఆ λπϛϯά ͱͷ ʹϘλϯ ԡլ Ε Δ Λ γϧξϧ௨৴ͱιϑτ ΣΞʹ Δɽ8 εςοϓͷ γʔέϯαͱ ར Γɼ εςοϓ ͱʹիͷબ 8 Δɽਤ 6 ʹԋ ஔΛ ɽ ਤ 7 ԋ ۦͼٴ ಈ ޚ ιϑτ ΣΞ Fig. 7 Performance and servo motor drive software 3.5 Ի ߏ ෦ ਤ 6 ԋ ஔ Fig. 6 Performance device ͱ ಈ ԋ Λߦ ΔɽຊγεςϜͰ 8 ε ςοϓͷϧʔϓի Λߏ Δɽ εςοϓ ͱʹիߴ 8 छଘࡏ ΔɽຊγεςϜͰ ԼஈΛ C3 Β C ΣϒΧϝϥ Ͱͷന ݤ ෦ Λ Ε Ε Γ Δɽ ԻλΠϛϯά εϐʔχͷ Λ ײ తʹ ޚ Δ Ίɼ ͷࢦઌ དྷ ͱ ʹ ͷϙλϯͷԡլࡁέ ใ Ε Ի Δ ΛτϥοΩϯά Δ ΊͷσόΠεͰ ΔɽຊγεςϜͰ Έʹͳ Δɽಉεςοϓ ͰͷผԻಉ Ի Մ UCAM-DLQ30HSV Λ Δɽ Ͱ Δɽਤ 8 ਤ 9 ਤ 10 ʹຊγεςϜͷԻ ߏ ෦ϑ ϩʔνϟʔτ ͼٴ ԋ Λ ɽ 3.3 ιϑτ ΣΞ ຊߘͰఏҊ ΔγεςϜશମΛ ޚ Δ Ίͷιϑ τ ΣΞͰ Δɽओͳ ػ ҎԼͷ௨ΓͰ ΔɽWin- dows7,processing ڥ ԼͰ ɽ ͷιϑτ ΣΞ ओʹ ࢦ ෦ͱԋ ୲ ෦ʹΑ ߏ Ε Δɽ ΣϒΧϝϥ Βͷը औಘɾද ɾ ܭ ࢦ ͷ ը ԋ ஔ Βͷ ใऔಘɾ త ө ԋ ͷ ɾ ࢭ ԋ ͷมߋ Ϛ εʹαδ Λ ఆ Δɽਤ 7 ʹιϑτ ΣΞΛ ɽԋ ͷมߋʹ αʔϙϟʔλͷ ۦ ಈ ʹ Θ ఆ Δඞཁ Δɽ ਤ 8 ԋ ෦ ϑϩʔνϟʔτ Fig. 8 Performance flowchart 3.4 ࢦ ෦ εϐʔχͷ มߋΛ୲ Δɽ ΣϒΧϝϥ Βͷը ใΛ ࢦ ʹݩ ఆΛߦ ɽࢦઌͷ৭ ใΛΧϥʔτ ϥοωϯά Δɽࢦઌͷ xy ඪΛऔಘ ɼιϑτ Σ 3.6 γεςϝར ຊγεςϜ ԋ ʹ Θ εϐʔχͷ มԽ Δɽ Ξ Ͱ ࢦఆ ͷ ඪ ʹ ೲ Δɽ ʹۂ Θ αʔ εϐʔχͷ Λࢦఆ Δʹ ΣϒΧϝϥͷલͰ Λ ϘϞʔλ ޚ ͷ PWM ৴ Λ Arduino Λ௨ ࢦ Δ ͱ ඞཁͰ Δɽԋ தʹ ͳ Λࢦ Δɽ ͱͱ ͷ εϐʔχ ɽ ɼಈ ͷ ը Մ 2014 Information Processing Society of Japan 4

5 11 Fig. 9 9 Performance example 11 Fig. 11 Location when research 10 Fig. 10 Actual performance example 3.7 (1) (2) (3) (4) (5) (6) 4. 2 (1) (2)

6 5. 6. Kinect [1] [2],, [ ],,. US, 104(613), 17-20, [3],,. US, 105(554), 19-24, [4],,,,,,. EA, 94(202), 25-30, [5],,,. MVE, 112(25), 29-34, [6],,,,. EA, 110(239), 49-54, [7],Ewe Chin Huat,, 3,. EA, 99(259), 29-36, [8],,,. EA, 111(306), 1-6, [9],, [ ],,,, X-Media Galaxy 18(3), , [10] 3, Vol. 16, No. 4, pp , [11],,, 26, 67(10), , [12],, [ ],,,. EA, 112(76), 19-24,