成人ピアノ初級者の演奏熟達におけるチャンク形成過程の分析
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(2) Vol.2014-MUS-102 No.8 2014/2/23. ใॲཧֶձڀݚใࠂ IPSJ SIG Technical Report. ͦͷͨΊຊͰڀݚɼϐΞϊԋख़ୡʹ͓͚ΔνϟϯΫ. ߦ͏߹ʹ͓͚ΔɼνϟϯΫͷଘࡏΛ໌Β͔ʹͨ͠ɽϐΞ. ܗաఔʹண࣮ͨ͠ͱݧੳΛߦ͏ɽνϟϯΫܗաఔ. ϊԋͰɼࢹ͚֮ͩͰͳ͘ɼௌ֮ϑϨʔζͱ͍ͬͨԻ. Λௐࠪ͢ΔͨΊਓϐΞϊॳऀڃΛඃ͠ͱऀݧɼ՝ۂΛ. ָతࣝνϟϯΫܗʹد༩͢ΔͨΊɼΑΓߴ࣍ͳϨϕ. 1 30 ؒ࿅श͠ɼ࿅शʹޙ౸ୡςετ (՝ۂΛ࠷ॳ. ϧͰͷղੳ͕ٻΊΒΕΔɽ. ͔Β࠷Ͱ·ޙ௨͍ͯͯ͠Β͏͜ͱ) Λߦ͏ɽશ͘ԋ. 3. ࣮ڥݧ. Ͱ͖ͳ͍ঢ়ଶ͔Βޡଧ͘ͳݤԋͰ͖Δ࣌·Ͱ؍Λܧଓ ͠ɼ֤࣮ݧͷ࿅शָʹޙේ্ʹओ؍తνϟϯΫ (·ͱ·. 3.1 ϐΞϊֶशࢧԉγεςϜͷߏ. ΓΛ͡ײΔԻූྻ) Λهड़ͯ͠Β͏ͱͱʹɼͦͷࠜڌ. ࣮ͨ͠༻ͰݧϐΞϊֶशࢧԉγεςϜͷ֎͓؍Αͼγ. ʹ͍ͭͯޠݴใࠂΛಘΔɽ·ͨɼඃऀݧͷࢹઢใଧݤ. εςϜߏΛਤ 1 ͓Αͼਤ 2 ʹͦΕͧΕࣔ͢ɽ͜ͷγες. ใΛৗ࣌ه͠ɼྔతσʔλͱ࣭తσʔλΛͱʹνϟ. ϜͰݤ൫্෦ʹઃஔͨ͠ϓϩδΣΫλΛ༻͍ͯݤ൫্ʹ. ϯΫͱख़ୡͷؔ࿈ͷௐࠪɾੳΛߦ͏ɽ. ԋิॿใΛఏࣔ͢Δɽ·ͨɼԋऀͷલํʹࢹઢ. ҎԼʹຊจͷߏΛࣔ͢ɽ2 ষͰؔ࿈ͯ͠ͱڀݚϐΞ. ػೳσΟεϓϨΠΛஔ͠ɼϓϩδΣΫλͱಉ༷ʹԋ. ϊԋख़ୡԽࢧԉʹؔ͢ΔઌߦڀݚɼϐΞϊԋதʹ͓. ิॿใΛఏ͍ࣔͯ͠ΔɽγεςϜɼMIDI ݤ൫ʹΑΔ. ͚ΔࢹઢͷهͱνϟϯΫʹؔ͢Δઌߦ͍ͯͭʹڀݚड़. MIDI σʔλʢଧݤҐஔଧڧݤʣ͓Αͼࢹઢஔ. Δɽ3 ষͰ࣮͍ͨ༻ʹݧϐΞϊֶशࢧԉγεςϜʹ͍ͭͯ. ʹΑΔࢹઢσʔλʢσΟεϓϨΠ্ʹ͓͚Δࢹͷ࠲ඪ. આ໌͠ɼ4 ষͰධՁ࣮ݧͷखॱ͓Αͼ݁ՌΛड़ɼ5 ষͰ. ͓Αͼه࣌ࠁʣΛೖྗͱ͢Δɽԋͷ༷ࢠΛه͢Δͨ. ࣮ݧͷߟʹ͍ͭͯड़Δɽ࠷ ʹޙ6 ষͰຊڀݚͷ·ͱΊ. ΊʹϏσΦΧϝϥΛઃஔͨ͠ɽ. Λߦ͏ɽ. 2. ؔ࿈ڀݚ. ө૾ੜ͓ΑͼࢹઢɾMIDI σʔλه༻ͷ PC ͱͯ͠. TOSHIBA ࣾͷ RX-2L/E7LE Λ༻ͨ͠ɽ·ͨɼMIDI ݤ ൫ͱͯ͠ CASIO ࣾͷ PriviA PX-110 Λ༻ͨ͠ɽࢹઢ. ͜Ε·ͰϐΞϊֶशͷࢧԉʹͭͳ͕ΔࢼΈ͍ͭ͘. ஔͱͯ͠ Tobii ࣾͷ TX-300 Λ༻ͨ͠ɽϓϩδΣΫ. ͔ߦΘΕ͍ͯΔɽੵͨ͠ԋσʔλ͔Βԋऀͷۤ. λͱͯ͠ BenQ ࣾͷ MP776 ST Λ༻ͨ͠ɽϓϩδΣΫ. खͳ๏ΛׂΓग़͠ूதతʹτϨʔχϯά͢Δγες. λͷݤ൫ӨྖҬ 6 ΦΫλʔϒʢ72 ݤʣͰɼϓϩδΣ. Ϝ [9], [10], [11], [12], [13] ɼԋΛࣗಈతʹධՁ͠ޡΓ. Ϋλͷө૾͕Α͑͘ݟΔΑ͏ʹࠇݤΛന͘ృͬͨɽPC ্. ΞυόΠεจΛේ໘্ʹఏࣔ͢ΔγεςϜ [14] ͕͋Δɽ. ͷιϑτΣΞͷ։ൃɼWindows 7 ্Ͱ Microsoft ࣾͷ. ͜ΕΒଧݤϛεɼଧͲͳڧݤΛओʹଧݤใ͔ΒධՁ. Visual C++ 2010 Λ༻͍ͯߦͬͨɽ. ͍ͯ͠ΔɽPiano Tutor[15] ԋैೝࣝʹΑΔࣗಈේ Ί͘ΓػೳɼϏσΦԻʹΑΔൣԋͷఏࣔɼԋ. 3.2 ఏࣔίϯςϯπ. σʔλΛղੳ͠վળΛςΩετͳͲͰࢦࣔ͢ΔػೳͳͲ. σΟεϓϨΠͱݤ൫্ʹදࣔ͞Εͨίϯςϯπʹ͍ͭͯ. ΛͭɽઌੜͱੜెͷϨοεϯࢧԉ [16], [17] ͱͯ͠ɼςϯ. ਤ 3 ͓Αͼਤ 4 Λ༻͍ͯड़Δɽ֤ਤதͷ൪߸ҎԼͷՕ. ϙڧऑɼελοΧʔτϨΨʔτͱ͍ͬͨΞʔςΟΩϡ. ॻ͖൪߸ʹରԠ͍ͯ͠Δɽ. Ϩʔγϣϯͷ۩߹Λࣔ͢γεςϜ͕ఏҊ͞Ε͍ͯΔɽଧ ݤ͖͢ݤɼӡࢦɼखຊө૾Λදࣔ͢ΔΩʔϘʔυιϑ. ( 1 ) ɹطଘͷࢴഔମͷָේͱಉ༷ͷָේΛఏࣔ͢Δɽ. τΣΞ [1], [2], [18], [19] ͕͋Δɽ͜ΕΒ͍ͣΕଧݤ. ( 2 ) ɹࡏݱͷԋҐஔΛఏࣔ͢Δɽ͜ΕʹΑΓɼֶशऀ. ใ͔Βָ͕ۂΑΓਖ਼͘͠ԋͰ͖͍ͯΔ͔ΛධՁֶ͠श. ͜ͲࡏݱΛԋ͍ͯ͠Δ͔ΛײతʹཧղͰ͖Δɽਖ਼. తʹඞཁͳใΛఏ͍ࣔͯ͠ΔɽຊͰڀݚओ؍తνϟ. ͍͠ݤΛ͍ͨ࣌ͷΈఏࣔ͞ΕΔԋҐஔ͕ਐΉɽ. ϯΫʹͯ͠ඃऀݧͷָۂͷೝͷมԽΛ؍ଌͯ͠. ( 3 ) ɹ࣍ʹԋ͢Δʹ্ݤ৭Λఏࣔ͢Δɽӡࢦใ. ͍Δɼ͜ΕʹࢹઢσʔλͱଧݤσʔλΛฒ༻ͯ͠ԋ. ӡࢦ൪߸ʢࢦ͔Βখࢦʹ͔͚ͯ 1 ͔Β 5 ͷ൪߸͕ͦ. ͷख़ୡΛධՁ͍ͯ͠ΔͰطଘͱڀݚࠜຊతʹҟͳΔɽ. ΕͧΕׂΓͯΒΕ͍ͯΔʣ͝ͱʹରԠ͍ͯ͠Δྠֲ. Β [4] ɼຊͱڀݚಉ༷ʹɼֶशࢧԉγεςϜͷར༻. ͷ৭ɼʹ্ݤӡࢦ൪߸Λఏࣔ͢Δ͜ͱͰࣔ͢ɽ͜Ε. Λఆ͠ɼଧݤใࢹઢใΛͱʹɼख़ୡաఔʹ͓͚Δ. ʹΑΓֶशऀ༰қʹଧݤҐஔӡࢦΛѲͰ͖Δɽ. γεςϜར༻தͷࢹઢͷભҠΛௐ͍ࠪͯ͠Δ͕ɼνϟϯΫ. ·ͨɺσΟεϓϨΠʹݤ൫ͱಉ༷ͷଧݤҐஔใ. ʹ͍ͯ͠ͳ͍ɽ·ͨɼ1 ষͰड़ͨΑ͏ʹ Weaver[5]. ӡࢦใΛఏࣔ͢ΔɽσΟεϓϨΠʹଧݤҐஔͱͳ. ϐΞϊख़ୡऀͷේಡΈʹ͓͚ΔνϟϯΫೳྗʹ͍ͭͯௐ. ΔݤͷͷΈදࣔ͞ΕΔ͕ɼݤ൫্ʹఏࣔ͞Εͨใ. ͍ࠪͯ͠Δ͕ɼຊͰڀݚਓϐΞϊॳऀڃΛରͱͯ͠. ͱൺֱͯ͠ಘΒΕΔใগͳ͘ɼײੑʹ͚ܽΔɽ. ͍ΔɼේಡΈ͚ͩͰͳ͘ԋʹ͠ɼνϟϯΫͷม. ʢ2ʣͷԋҐஔఏࣔͱ͜ͷଧݤҐஔఏࣔɼΞΠίϯ. ༰ʹ͍ͯ͠ΔͰҟͳΔɽSakai Β [6] ϘλϯܕΩʔ. ΛӨͨ͠ԋʹ༻͠ͳ͍ݤͷଧʹݤΑΓΓସ͑. ϘʔυΛར༻͠ɼࢹ֮తͳఏࣔใΛ͕ͳݟΒଧ࡞ૢݤΛ. ɹ. c 2014 Information Processing Society of Japan . 2.
(3) Vol.2014-MUS-102 No.8 2014/2/23. ใॲཧֶձڀݚใࠂ IPSJ SIG Technical Report. ͕ՄೳͰ͋Γɼԋऀࣗͷԋख़ୡʹ߹Θͤͯ ใఏࣔͷ On/Off ΛΓସ͑Δ͜ͱ͕Ͱ͖Δɽ. ( 4 ) ɹָේ্ʹදࣔ͞ΕΔ൪߸͖ͷࠇృΓͷ࢛֯ܗɼ ࡏݱͷԋҐஔΛมߋ͢ΔΩϡʔϙΠϯτͰ͋Δɽԋ தʹΩϡʔϙΠϯτͷఏࣔҐஔ·ͰԋҐஔΛมߋ ͢Δ͜ͱ͕Ͱ͖ɼ͜Εֶशऀ͕ҙͷՕॴΛूதత ʹ࿅श͍ͨ͠߹ɼ్த͔Βԋ͍ͨ͠߹ʹ༗ޮ Ͱ͋ΔɽଧݤҐஔఏ͓ࣔΑͼԋҐஔఏࣔͱಉ͘͡ɼ ΩϡʔϙΠϯτݤ൫্ʹઃఆͨ͠ݤΛଧ͢ݤΔ͜ͱ ͰϢʔβ͕બతʹར༻Ͱ͖Δɽ. ( 5 ) ɹֶशऀ͕ԋΛ͢ΔࡍɼӈखͷΈ͋Δ͍ࠨखͷΈ ਤ 1. ϐΞϊֶशࢧԉγεςϜͷ֎؍. Ͱͷԋ͕ՄೳͱͳΔΑ͏ɼγεςϜยखԋʹ ରԠͨ͠ଧݤҐஔఏࣔՄೳͱͳ͓ͬͯΓɼยखͷΈ. 映像生成およびデータ記録用PC. ଧݤҐஔΛఏ͍ࣔͯ͠Δ࣌ยखͷΈͷԋͰԋҐ ஔଧݤҐஔͷఏ͕ࣔਐΉɽ·ͨɼൣԋΛ࠶ੜ͢ ΔػೳΛ࣋ͪɼ͜ΕΒͷػೳݤ൫্ʹઃఆͨ͠ݤͷ ଧʹݤΑΓར༻Ͱ͖Δɽ. 4. ධՁ࣮ݧ ධՁ࣮Ͱݧԋॳظஈ֊ʢϐΞϊॳ৺ऀ͕ॳݟͷָۂ ʹରͯ͠ӡࢦଧݤҐஔΛ֮͑ΔͨΊʹ࿅श͢Δஈ֊ʣʹ ͓͚ΔϐΞϊֶशࢧԉγεςϜΛ༻͍ͨࡍͷָۂͷशख़ ͱνϟϯΫܗͷؔΛɼඃָ͕ऀݧේ্ʹهड़ͨ͠νϟ ϯΫͱলใࠂɼଧݤใࢹઢใΛͱʹੳ͢Δɽ ਤ 2 γεςϜߏ. 4.1 ࣮ݧͷखॱ ඃऀݧɹ࣮ࢀʹݧՃͨ͠ඃऀݧ 6 ໊Ͱɼ͍ͣΕ 20 ͷਓͰ͋Δɽ͏ͪɼ5 Ҏ্ϐΞϊΛश͍ͬͯͨϐΞϊ ͕ऀݧܦ3 ໊ʢඃ ऀݧAɼBɼCʣɼΓ 3 ໊ʢඃ ऀݧDɼ. EɼFʣ͕ϐΞϊॳ৺ऀͰ͋Δɽຊ࣮ͰݧνϟϯΫܗա ఔΛௐࠪ͢Δ͜ͱ͕తͰ͋Δ͕ɼख़ୡ࣌ʹ͓͚Δνϟϯ Ϋܗ݁ՌͷҰ؏ੑΛௐࠪ͢ΔͨΊɼऀݧܦ࠾༻ͨ͠ɽ ͳ͓ɼඃʹऀݧ͋Β͔͡ΊϐΞϊֶशࢧԉγεςϜͷ֤ ػೳͷ͍ํΛઆ໌͠ɼॳ৺ऀʹָේͷಡΈํʢָේ্ ʹ͞هΕΔԻූ߸هͷҙຯʣԋ๏આ໌ͨ͠ɽ ਤ 3. σΟεϓϨΠʹఏࣔ͞Εͨίϯςϯπ. ՝ۂɹ՝ͯ͠ͱۂɼW. A. Mozart ͷϐΞϊιφλୈ. 11 ൪ୈ 3 ָষτϧίߦਐۂͷ಄෦ʢ࠷ॳ͔Β 17 খઅ ·ͰʣΛ࿅शͯ͠Βͬͨɽͳ͓ɼ՝͍ͯͭʹۂඃ ऀݧશһ͕ௌ͍ͨ͜ͱ͋Δ͕ԋͨ͜͠ͱͳ͍ɽ ࣮ํݧ๏ɹτϧίߦਐۂΛຖ 30 ͔͚ͯ࿅शͨ͠ޙɼ౸ ୡςετͱͯ͠ϐΞϊֶशࢧԉγεςϜͷར༻ͳ͠Ͱ࠷ ॳ͔Β࠷Ͱ·ޙҰ௨Γԋ͢Δͱ͍͏ࢼߦΛຖճߦͬͨɽ ౸ୡςετʹ͓͚Δޡଧ ͕ݤ0 ճͱͳΔ·Ͱ࣮ݧΛଓ ਤ 4. ݤ൫ʹఏࣔ͞Εͨίϯςϯπ. ͚ͯΒͬͨͨΊɼ࣮ؒظݧද 1 ʹࣔ͢Α͏ʹඃ͝ऀݧ ͱʹҟͳΔɽ30 ͷ࿅शʹ͍ͭͯલड़ͷϐΞϊֶशࢧԉ γεςϜΛ༻͍ɼ౸ୡςετֶशࢧԉγεςϜΛΘ. c 2014 Information Processing Society of Japan . 3.
(4) Vol.2014-MUS-102 No.8 2014/2/23. ใॲཧֶձڀݚใࠂ IPSJ SIG Technical Report ද 1 ֤ඃऀݧͷ࣮ࢪ࣮ݧ. ͨஈ֊Ͱ΄΅՝ۂΛָේͲ͓ΓʹԋͰ͖ΔϨϕϧ·Ͱ. ඃ໊ऀݧ. ϐΞϊݧܦͷ༗ແʢܧଓʣ. ࣮ࢪ࣮ݧ. ඃ ऀݧA. ༗Γʢ 6 ؒʣ. 2. ඃ ऀݧB. ༗Γʢ 10 ؒʣ. 2. ඃ ऀݧC. ༗Γʢ 10 ؒʣ. 3. ඃ ऀݧD. ແ͠. 5. Εͨɽॳ৺ऀͷ߹ɼ࣮ ݧ2 ࠒ·ͰยखͷΈͷ࿅श. ඃ ऀݧE. ແ͠. 5. Λ܁Γฦ༷͢ࢠ͕ΈΒΕͨɽยखͰͷԋ্ୡޙɼ྆खԋ. ඃ ऀݧF. ແ͠. 6. ͷ࿅शΛࢼΈ͕ͨεϜʔζʹԋͰ͖ͳ͍ঢ় ͕گ4 . ౸ୡͨ͠ɽ·ͨɼ࠷ऴͷ࿅शͰָේͲ͓Γʹԋ͢Δ ͚ͩͰͳ͘ɼָේʹࢦ͕ࣔͳ͘ͱԻͷڧऑԋͷς ϯϙʹมԽΛ͚Δͱ͍ͬͨߴͳԋΛ͢Δ༷ࢠ͕ΈΒ. ࠒ·Ͱଓ͍ͨɽ࣮࠷ݧऴʹ͓͚Δ྆खԋͰɼ࿅शத ͣʹ՝ۂͷේ໘ͷΈఏࣔͨ͠ɽ࣮ݧதɼࢹઢܭଌஔ. ʹ͓͚Δଧݤϛεݮগͨ͠ɽ·ͨɼ౸ୡςετΛ. ͕ੜ͢ΔࢹઢσʔλɼMIDI ݤ൫͕ੜ͢Δଧݤσʔλ. ఆͯ͠ݤ൫্ͷଧݤҐஔఏࣔػೳΛΘͣʹ࿅श͍ͯ͠. ΛγεςϜʹه͠ɼԋதͷ༷ࢠΛϏσΦΧϝϥͰه. ͨɽ͍͠Օॴʹ͔͔͞͠ΔͱԋΛதஅ͠ਖ਼͍͠ݤ൫Λ. ͨ͠ɽ౸ୡςετͰɼ࿅शதͰܭଌ͍ͯ͠Δଧݤσʔ. ୳༷͢ࢠ͕؍ଌ͞Εͨɽ͕ͨͬͯ͠ɼָۂશମΛҰఆͷς. λΛͱʹଧݤϛεΛܭଌͨ͠ɽ·ͨɼޡଧݤʢؒҧ͑. ϯϙͰԋ͢Δͷ͍͠ঢ়ͨͬ͋Ͱگɽ. ͯଧͨ͠ݤ߹ʣ ɼະଧݤʢଧ͍ͳ͠ݤ߹ʣ ɼ༨ଧݤʢ༨. ࿅शํ๏ʹ͍ͭͯඃ༷ʹͱ͝ऀݧʑͰ͋ͬͨɽϐΞϊ. ʹଧͨ͠ݤ߹ʣΛଧݤϛεͱΈͳͨ͠ɽ͞ΒʹνϟϯΫ. ֶशࢧԉγεςϜʹؔͯ͠ɼػೳʹཔΓ͖ͬͯ࿅श͢Δ. ܗաఔΛه͢ΔͨΊʹ౸ୡςετऴྃޙɼඃ͕ऀݧ. ඃऀݧɼػೳΛશ͘ར༻ͤͣ࿅शΛ͢ΔඃऀݧɼଧݤҐ. ೝ͍ࣝͯ͠ΔνϟϯΫΛָේهೖͯ͠Β͏ͱͱʹɼ. ஔͳͲͷิॿใΛද͍ࣔͯ͠ΔͷͷͦΕʹैΘͣಠ. ͦͷ͍ࠜͯͭʹڌใࠂΛಘͨɽ. ࣗʹ࿅शΛਐΊΔඃऀݧ͍ͨɽॳ৺ऀΩϡʔϙΠϯτ ػೳΛར༻͍ͯ͠͠ՕॴͳͲΛ෮࿅श͓ͯ͠Γɼָۂ. ඃऀݧͷࢦࣔɹ 30 ؒͷ࿅शͰʮࣗવͳςϯϙͰָ. ͷशख़্͕͕ΔʹͭΕͯ՝ۂશମΛ܁Γฦ͠࿅श͢. ේΛ͕ͳݟΒϛεͳ͚͘Δ͜ͱΛҙࣝͯ͠ɼػೳΛࣗ༝. ΔΑ͏ʹͳͬͨɽ͜Εʹର͠ऀݧܦɼΩϡʔϙΠϯτػ. ʹ͍ͳ͕Β 30 ؒ࿅श͍ͯͩ͘͠͞ɽ͜ͷ͋ͱ౸ୡ. ೳ͋·Γར༻ͤͣɼ࣮ظॳݧஈ֊͔Β՝ۂશମΛ௨͠. ςετΛߦ͍·͢ɽ౸ୡςετͰଧݤҐஔԋҐஔ. ͯ࿅श͢Δ༷ࢠ͕ݟΒΕͨɽͦͷଞʹϝϩσΟΛͣ͞ޱ. ͷใͳͲγεςϜ͔Βͷิॿใ͕ͳ͍ঢ়ଶͰ͍ͯ. Έͳ͕Β࿅शͨ͠Γɼൣԋͷ࠶ੜʹ߹Θͤͯ࿅श͢Δ. Β͍·͢ɽ࣮ݧதʹ࣭͕͋ΕԿͰฉ͍͍ͯͩ͘͞ʯ. ͱ͍ͬͨಠࣗͷํ๏Ͱ࿅शΛͨ͠Γ͢Δඃऀݧ͍ͨɽͳ. ͱࢦࣔͨ͠ɽ·ͨɼ౸ୡςετͰʮࠓ͔Β౸ୡςε. ͓ɼ͜ΕΒͷඃऀݧͷߦಈ࣮ऀݧͷ؍ൺֱʹͮ͘ج. τΛߦ͍·͢ɽ࠷ॳ͔Β࠷Ͱ·ޙൣԋʹͰ͖Δ͚ͩۙ. ͷͰɼඃऀݧͷ৺ཧঢ়ଶͳͲ٬؍తʹஅͰ͖ͳ͍ࣄʹ. ͍ςϯϙͰϛεͳ͍͍ͯͩ͘͘͞ɽ੍ؒ࣌ݶ 5 ؒ. ؔͯ͠ɼ࣮ݧऴྃʹޙඃޱʹऀݧ಄Ͱ֬ೝ͍ͯ͠Δɽ. Ͱ͢ɽΘ͔Βͳ͍ͱ͜Ζ͕͋Εඈͯ͠Βͬͯߏ͍· ͤΜ͠ɼ͜ΕҎ্ԋͰ͖ͳ͚Ε͍ͩͯͬ͘͞ݴɽͨͩ. 4.2.2 νϟϯΫܗաఔ. ͠ϛεͯ͠͠·ͬͨΓɼࢭ·ͬͯ͠·ͬͨ߹Ͱ࠷ॳʹ. ਤ 6ʙਤ 11 ʹ֤ඃऀݧͷνϟϯΫه݁ՌΛࣔ͢ɽਤ. ͬͯԋΛΓ͢͜ͱͤͣɼࢭ·ͬͯ͠·ͬͨՕॴ. தͰͦΕͧΕ্ஈ͕ 1 ͷهɼԼஈ͕࠷ऴͷه. ͔Β͖͍ͯͩ͘͠͞ʯͱࢦࣔͨ͠ɽνϟϯΫهೖͷࡍ. Ͱ͋Δɽͨͩ͠ɼඃ ऀݧD 2 ·ͰલͷΈ͋Δ͍. ʮ͜ͷָේʹԋதʹ͕ࣗҙࣝͨ͠νϟϯΫɼ͢ͳΘ. ยखͷΈͷ࿅श͔͠Ͱ͖ͳ͔ͬͨͨΊ্ஈ͕ 3 ͷه. ͪԻϑϨʔζͷ·ͱ·ΓͰ͋Δͱߟ͑ͨ෦ΛͰؙғΉ. Ͱ͋Δɽ݁ՌͷߟΛਐΊΔ্Ͱɼඃऀݧͷলใࠂͱ. Α͏ʹهೖ͍ͯͩ͘͠͞ɽ͋·Γҙ͍ࣝͯ͠ͳ͔ͬͨ෦. νϟϯΫͷੑ࣭ΑΓνϟϯΫΛܗͨࠜ͠ͳͱڌΔཁૉʹ. Θ͔Βͳ͍෦هೖͤͣɼ·ͱ·ΓͰ͋Δͱ֬৴ͷ͋. ΑͬͯߴνϟϯΫɼύλʔϯνϟϯΫɼϑϨʔζνϟ. ΔՕॴͷΈهೖ͍ͯͩ͘͠͞ɽΑͬͯɼ͍ͣΕͷνϟϯΫ. ϯΫͷ 3 छྨʹྨͨ͠ɽ͔͠͠ɼύλʔϯνϟϯΫͱϑ. ʹೖΒͳ͍Իූ͕ͯͬ͋ූٳྑ͍Ͱ͢ɽ·ͨɼ1 ͭ. ϨʔζνϟϯΫຊ࣮ͰݧಘΒΕͨσʔλ͚ͩͰผ͠. ͷԻූͷΈͷνϟϯΫɼେ͖ͳνϟϯΫͷதʹখ͞ͳνϟ. ͮΒ͍ͨΊɼύλʔϯνϟϯΫͱϑϨʔζνϟϯΫ۠ผ. ϯΫ͕͋Δ߹ยखͷ෦ͷΈͷνϟϯΫྑ͠ͱ͠·. ͠ͳ͍ɽඃͱ͝ऀݧͷྨͨ͠νϟϯΫͷΛਤ 12 ʹࣔ. ͢ɽ྆खʹ·͕ͨΔνϟϯΫͷ߹ɼӈखɼࠨखͦΕͧΕ. ͢ɽͳ͓ɼਤ 6ʙਤ 11 தͷ৭Ͱғ·ΕͨνϟϯΫߴ. ͷ࢝ɼऴ͕ଗΘͳͯ͘ྑ͍Ͱ͢ʯͱࢦࣔͨ͠ɽ. νϟϯΫɼ੨৭Ͱғ·ΕͨνϟϯΫύλʔϯνϟ ϯΫ͋Δ͍ϑϨʔζνϟϯΫͰ͋Δɽ. 4.2 ࣮݁ݧՌ 4.2.1 ࿅शதͷ༷ࢠ ֤ඃऀݧͷ౸ୡςετʹ͓͚Δଧݤϛεͱԋ࣌ؒ ͷਪҠΛਤ 5 ʹࣔ͢ɽऀݧܦͷ߹ɼ1 ͷ࿅शΛऴ͑. c 2014 Information Processing Society of Japan . ߴνϟϯΫɹ 16 Իූ͕࿈ͳΔͳͲ 1 ഥதʹԻՁʢԻ ͷ͞ʣͷ͍Իූ͕ີू͍ͯ͠ΔՕॴෳࡶͳԻ͕͋ ΔՕॴɼ࣍ଧݤҐஔ·Ͱͷ͕ڑΕ͍ͯΔՕॴͱ͍ͬͨɼ. 4.
(5) Vol.2014-MUS-102 No.8 2014/2/23. ใॲཧֶձڀݚใࠂ IPSJ SIG Technical Report. ਤ 5. ౸ୡςετʹ͓͚Δଧݤϛε͓Αͼԋ࣌ؒ. ਤ 6. ඃ ऀݧA ͷνϟϯΫܗաఔ. ਤ 7 ඃ ऀݧB ͷνϟϯΫܗաఔ. ਤ 8. ඃ ऀݧC ͷνϟϯΫܗաఔ. c 2014 Information Processing Society of Japan . ਤ 9 ඃ ऀݧD ͷνϟϯΫܗաఔ. ਤ 10. ඃ ऀݧE ͷνϟϯΫܗաఔ. ਤ 11. ඃ ऀݧF ͷνϟϯΫܗաఔ. ਤ 12. νϟϯΫܗͷਪҠ. 5.
(6) Vol.2014-MUS-102 No.8 2014/2/23. ใॲཧֶձڀݚใࠂ IPSJ SIG Technical Report. ԋதʹ͓͍ͯӡࢦ͕͍͠ՕॴͰܗ͞ΕΔɽ͜ͷΑ͏. ʮಉ͡ݤ൫ͷଧ͕ݤଓ͘ʯ ʮಉ͡ϦζϜύλʔϯ͕ଓ͘ʯ. ʹߴνϟϯΫओʹखࢦͷӡಈʢӡࢦʣʹͮ͘جνϟ. ͱ͍ͬͨखࢦͷӡಈʹؔ͢ΔύλʔϯΛଟ͘ݟग़͍ͯ͠. ϯΫͰ͋Δɽ·ͨɼඞͣ͠ߴͱ͍͏Θ͚Ͱͳ͍͕ɼ. ͨɽ͜ͷ͜ͱ͔Βɼॳ৺ऀͷϐΞϊख़ୡʹ͓͍ͯਖ਼֬ʹ. ඃ͕ऀݧԋதʹಛʹҙࣝ͠ͳ͚ΕԋͰ͖ͳ͍ͱ͍͏. ԋ͢ΔͨΊͷύλʔϯΛ͍͔ʹత֬ʹݟग़͢͜ͱ͕Ͱ͖. ཧ༝ʹΑΓܗ͞ΕΔ߹͋ΔɽνϟϯΫͷେ͖͞ 1. Δ͔͕ॏཁͳϙΠϯτͰ͋Δͱߟ͑ΒΕΔɽຊͰڀݚͷఆ. খઅҎԼͰ͋Δɽ. ٛʹ͓͍ͯܗͨ͠νϟϯΫͷਖ਼ղෆਖ਼ղແ͍ͱͯ͠ ͍Δ͕ɼԋ্͋Δ͍ޮΑ͘ख़ୡΛ্͛ΔͨΊʹ͋. ύλʔϯνϟϯΫɹಉ͡ϦζϜͷԻූ͕ଓ͍ͨΓɼಉ͡ݤ. Δఔ༗ޮͳνϟϯΫܗߟ͑ΒΕΔɽ. ൫ͷଧ͕ݤଓ͘ͱ͍ͬͨ͋ΔҰఆͷύλʔϯΛඃݟ͕ऀݧ ग़͢͜ͱͰܗ͞ΕΔνϟϯΫͰ͋Γओʹӡಈʹͮ͘ج. ϑϨʔζνϟϯΫɹॳ৺ऀʹ͍࣮ͭͯظॳݧஈ֊Ͱϑ. ͷͰ͋Δ͕ɼԋͨ͠ࡍͷௌ֮తೝʹΑͬͯύλʔϯΛ. ϨʔζνϟϯΫΛܗ͢Δྫͳ͘ɼఔͷத൫Ҏ߱Ͱ͋. ݟग़͢ඃऀݧ͍ͨɽύλʔϯνϟϯΫ 1 খઅҎ্ͷେ. Δ࣮ ݧ3 4 ͰΑ͏͘ύλʔϯνϟϯΫΛܗ. ͖͞Ͱܗ͞ΕΔɽ. ͢ΔͰ͋ͬͨɽ͜Εʹର͠ऀݧܦ࣮ॳݧͰϑ ϨʔζνϟϯΫΛܗ͍ͯ͠Δɽ. ϑϨʔζνϟϯΫɹओʹԋͨ͠ࡍͷௌ֮తͳೝɼ͋Δ. ͯؔ͠ʹऀݧܦԋ࣌ͷௌ֮͋Δ͍ࢹ֮తೝ͚ͩ. ָ͍ේΛࡍͨݟͷࢹ֮తͳೝʹ͖ͮجೝࣝ͢Δָۂͷ. Ͱͳ͘ɼԻָߏָۂͷࣜܗʢָࣜʣͳͲͷԻָతࣝ. ϑϨʔζͷ·ͱ·Γ͕ཁҼͱͳͬͯܗ͞ΕΔνϟϯΫ. Ճຯ্ͨ͠Ͱܗ͍ͯ͠ΔɽϑϨʔζνϟϯΫʹ͍ͭͯ. Ͱ͋ΔɽνϟϯΫͷه࣌ͷলใࠂʹ͓͍ͯඃ͔ऀݧΒ. ඃ͔ऀݧΒʮӡࢦͰಛʹؾΛ͚͍ͭͯΔͱ͍ͬͨཧ༝Ͱ. ʮԋͨ͠ࡍʹௌ͍ͨϑϨʔζͷ·ͱ·ΓʹײΑͬͯνϟϯ. ͳ͘ɼԋ͍ͯ͠Δͱ͖ʹΠϝʔδ͢ΔϑϨʔζͷΕ. ΫΛೝࣝͨ͠ʯͱ͍͏ใࠂ͕ಘΒΕͨͷΛϑϨʔζνϟ. Λͱʹߟ͑ͨʯͱ͍͏ใࠂ͕ಘΒΕͨɽ·ͨɼऀݧܦ. ϯΫͱఆٛͨ͠ɽϑϨʔζνϟϯΫ 4 খઅ͋Δ͍ 8 খ. ʮνϟϯΫ͝ͱʹڧऑςϯϙͷมԽΛ͚ͭΔʯͱड़. અʹΘͨΔେ͖ͳνϟϯΫͱͳΔɽ. ͍ͯΔɽ·ָͣේ௨Γʹଧݤϛεͳ͘ԋ͢Δͱ͍͏Ϩϕ. 5. ߟ. ϧ͔ΒɼΞʔςΟΩϡϨʔγϣϯʹؾΛ͚ͭΔΑ͏ͳԻ. 5.1 νϟϯΫͷछྨผߟ. ָͮ͘ۂͷཧղ͕ඞཁʹͳΔͱߟ͑ΒΕΔɽ. ָతʹ্ୡͨ͠ԋΛࢦ্͢ͰϑϨʔζνϟϯΫʹج. ߴνϟϯΫɹඃऀݧͷ͏ͪॳ৺ऀߴνϟϯΫʹ ͍ͭͯʮ͜͜༂͕͋Γӡࢦ͕͍ͨ͠Ίɼಛʹ͠. 5.2 ָۂशಘͷ্ͱνϟϯΫܗաఔ. ͓ͯΓ 1 ͭͷνϟϯΫͱͨ͠ʯͱड़͍ͯΔɽॳ৺ऀ. ଟ͘ͷඃڞʹऀݧ௨ͯ͠ΈΒΕͨͱͯ͠ɼຊ࣮ݧͷΑ. ʮಛʹؾΛ͚͔ͭͯͳ͚Ε͏·͘ԋͰ͖ͳ͍ʯͱ͍ͬ. ͏ʹॳݟͷָۂΛ࿅श͢ΔࡍʹߴνϟϯΫখ͞ͳ. ͨཧ༝͔Βɼ͋Δఔशख़্͕͕ͬͨஈ֊Ͱ͋Δ࣮࠷ݧ. ύλʔϯνϟϯΫ͕ଟܗ͞ΕΔ͕ɼָۂͷशಘ͕ਐΉ. ऴͰ͜ͷछͷνϟϯΫ͍ͬͯΔ߹͕ଟ͍ɽಛʹ. ʹͭΕͯߴνϟϯΫ͕ݮΓɼύλʔϯνϟϯΫ 1 খ. ࣍ଧݤҐஔ·Ͱͷ͕ڑΕ͍ͯΔՕॴͰͷߴνϟϯ. અఔͷখ͞ͳνϟϯΫʹΘͬͯ 4 খઅఔͷେ͖ͳ. Ϋ࠷ऴ·ͰΓ͍͢ɽ͜Εʹର͠ऀݧܦ࣮࠷ݧऴ. νϟϯΫ͕ܗ͞ΕΔΑ͏ʹͳΔ͜ͱͰ͋Δɽߴνϟ. ʹ͓͍ͯߴνϟϯΫΛ΄΅ܗ͠ͳ͘ͳΔͱ͍ͬͨ. ϯΫओʹखࢦͷӡಈʹͨͮ͘جΊɼ࿅शதʹ͓͍ͯಛ. Ͱ྆ऀͷಛ͕ݱΕͨɽ. ʹॏతʹ࿅श͖͢ӡࢦͷ͍͠Օॴʢ࣍ͷଧݤҐஔ͕ Ε͍ͯΔՕॴɼࢦ͙͘Γࢦ·ͨ͗ͱ͍ͬͨಛผͳٕೳ. ύλʔϯνϟϯΫɹऀݧܦɼॳ৺ऀͱʹ࣮ظॳݧஈ֊͔. ͕ඞཁͳՕॴʣͰܗ͞ΕΔ߹͕ଟ͍ɽΑͬͯॳ৺ऀͱ. Βܗ͍͕͢͠ɼظॳݧ࣮͕ऀݧܦஈ֊͔Β 4 খઅҎ্. Ͱऀݧܦൺֱͨ͠߹ɼॳ৺ऀͷํ͕ΑΓࡉ͔͘ɼΑΓଟ. ͷେ͖͞Λͪɼ྆खΛ·ͱΊͨνϟϯΫΛܗ͍ͯ͠Δ. ͘ߴνϟϯΫΛܗ͍ͯͨ͠ɽશఔͰͷߴνϟ. Ұํɼॳ৺ऀ 1 খઅఔ͔ͭยखͣͭͱ͍ͬͨൺֱతখ. ϯΫͷฏۉͰൺֱ͢Δͱɼ ͕ऀݧܦ3.4 ݸɼະऀݧܦ. ͞ͳνϟϯΫΛΑΓଟ͘ܗ͍͕͢͠ΈΒΕͨɽ͜. ͕ 6.9 ͋ͰݸΔɽ·ͨɼॳ৺ऀ౸ୡςετͰͷଧݤϛ. ͷେ͖͞ͷҧ͍ʹؔͯ͠ɼ1 ͭͷύλʔϯͰ 1 νϟϯΫ. ε͕ݮগͯ͠ߴνϟϯΫ͕͍ͬͯΔ͕ɼऀݧܦ. ͱ͍ͯ͠Δ߹ͱɼಉҰύλʔϯͷ܁Γฦ͠Λ·ͱΊ͍ͯ. 3 ໊த 2 ໊ʹ͓͍ͯߴνϟϯΫͳ͔ͬͨɽ. Δɼ͢ͳΘͪύλʔϯͷू߹ମͱͳ͍ͬͯΔ߹ʹΑͬͯ ҟͳΔͷͰ͋Δɽ. 5.3 ࣮࠷ݧऴʹ͓͚ΔϑϨʔζνϟϯΫͷྨࣅੑ. ύλʔϯԽ͢Δཁૉʹؔͯ͠ॳͱऀݧܦ৺ऀͰେ͖ͳࠩ. ࠓճͷ࣮݁ݧՌͰಛతͩͬͨɼਤ 13 ʹࣔ͢Α͏. ͕ΈΒΕͨɽऀݧܦԋ࣌ͷௌ֮తೝԻָߏͳͲ. ʹ֤ඃऀݧͷ࠷ऴʹ͓͚ΔνϟϯΫܗ݁Ռ͕Α͘ࣅͯ. ͷࣝΛʹجύλʔϯΛݟग़͍ͯ͠Δ͜ͱʹର͠ɼॳ৺ऀ. ͍ͨ͜ͱͰ͋Δɽ࣮͔ظॳݧΒத൫ʹ͔͚ͯͷνϟϯΫͷ. c 2014 Information Processing Society of Japan . 6.
(7) Vol.2014-MUS-102 No.8 2014/2/23. ใॲཧֶձڀݚใࠂ IPSJ SIG Technical Report. ਤ 14. ਤ 13. ϩϯυࣜܗ. શඃऀݧͷ࠷ऴͷԋʹ͓͚ΔνϟϯΫʢඃʹͱ͝ऀݧ ৭ผʣ. ܗ݁Ռ͕ඃͦͰؒऀݧΕͧΕҟͳΓɼଞͷඃͱऀݧಉҰ ͷνϟϯΫΛܗ͍ͯͨ͠ͱͯͦ͠Ε͕ಉ࣌͡ʹظग़Δ ͱݶΒͳ͍ɽ͔͠͠ɼ࠷ऴతʹࣅͨಛΛ࣋ͭνϟϯ ΫͱͳΔ͕ΈΒΕͨɽಛʹऀݧܦͷ߹ߴύ λʔϯͷখ͞ͳνϟϯΫʹ͓͍ͯࡉ͔ͳҧ͍͕͋Δͷͷɼ ϑϨʔζνϟϯΫͷதͰ࠷େ͖ͳνϟϯΫʢ࠷େνϟ ϯΫʣͯ͢Ұகͨ͠ɽऀݧܦಉ࢜ͰҰகͨ͠࠷େνϟ. ਤ 15. ౸ୡςετԋதͷࢹઢσʔλऔಘ. ϯΫɼ՝ۂͷલʢ1 খઅʙ9 খઅ 1 ഥʣͰ 1 νϟϯΫɼޙʢ9 খઅ 2 ഥʙ17 খઅʣͰ 1 νϟϯ. ΄Ͳ͕͋ڑΔ߹ʢ՝͍͓ͯʹۂ 8 খઅҎ߱ͷࠨ. Ϋͱ͍͏ܗͰ͋Δɽ͜Εɼ՝ۂͷτϧίߦਐ͕ۂϩ. ख෦ʣɽಛʹॳ৺ऀ࣮ࡍʹଧݤҐஔΛࢹ֮తʹ֬ೝ͢. ϯυࣜܗʢਤ 14ʣͷָࣜΛͭͨΊݱΕͨಛͰ͋Δͱߟ. Δඞཁ͕͋ΔͨΊɼݤ൫ͷ֘ՕॴΛࢹ͍ͯ͠Δɽݧܦ. ͑ΒΕΔɽຊ࣮Ͱݧ՝ࢦʹۂఆͨ͠τϧίߦਐۂͷ಄. ऀʹ͓͍ͯͦΕ·ͰָේΛ΄΅ࢹͯ͠ԋΛଓ͚͍ͯ. ෦ΛϩϯυʹࣜܗͯΊΔͱɼ՝ۂલਤ 14 ʹ. ͕ͨɼ͜ͷΑ͏ͳՕॴͰݤ൫ͷํࢹઢΛ͚͍ͯͨɽ. ͓͚Δओ෦ Aɼޙ͕ओ෦ B ʹରԠ͢ΔɽͰؒऀݧܦҰக ͨ͠࠷େνϟϯΫɼલ෦͕ϩϯυ͚͓ʹࣜܗΔ A ͷ. Իූ͕ີू͢ΔϑϨʔζɹ 16 ԻූͷΑ͏ͳԻՁͷ͍. ෦ɼޙ෦͕ಉ͘͡ B ͷ෦ͱಉҰͰ͋Δɽ͕ͨͬ͠. Իූ͕ 1 ͭͷϑϨʔζʹີू͍ͯ͠Δ߹ʢ՝͓ʹۂ. ͯඃ͕ऀݧೝࣝͨ͠࠷ऴνϟϯΫߏɼָۂͷָࣜͱ͍. ͍ͯ 4 খઅͷӈख෦ʣɼॳ৺ऀऀݧܦΘָͣේΛ. ͏Իָߏͷࣝʹ͘ڧӨ͞ڹΕ͍ͯΔͱ͍͑Δɽ. ࢹ͢Δʹ͋ͬͨɽ͜Εɼӡࢦ͕͍͕͠ݤ൫ͷҐ ஔΛࢹ֮తʹ֬ೝ͢Δඞཁͳ͍ͨΊɼݤ൫Λࢹ͢Δ͜. 5.4 ౸ୡςετʹ͓͚ΔࢹઢσʔλͱνϟϯΫܗͱ ͷؔ. ͱΑΓָේΛࢹ͢Δ͜ͱΛ༏ઌ͍ͯ͠ΔͨΊͱߟ͑ΒΕ Δɽ͔͠͠ॳ৺ऀʹ͓͍ͯशख़্͕͕ͬͨࡍͰ͜ͷΑ. ౸ୡςετʹ͓͚Δ֤ඃऀݧͷࢹઢσʔλऔಘΛ. ͏ͳՕॴͰָේΛࢹ͓ͯ͠Γɼָේ্ͷ̍ͭ̍ͭͷԻ. ਤ 15 ʹࣔ͢ɽ͜ͷσʔλɼඃ͕ऀݧԋதʹָේΛ. ූΛ͖ͬΓͱೝ͢ΔͨΊָේΛ֬ೝ͢Δඞཁ͕͋Δͱ. ࢹ͍ͯͨ࣌ؒ͠ͷׂ߹Λ͍ࣔͯ͠ΔɽϐΞϊऀݧܦָۂ. ߟ͑ΒΕΔɽ. ͷशख़্͕͕ΔͱͱʹָේΛࢹ͢Δׂ߹͕૿Ճ͢Δ ͕ɼϐΞϊॳ৺ऀʹٯशख़্͕͕ΔͱͱʹָේΛ. Ҏ্ͷΑ͏ʹಉ͡ߴνϟϯΫӡಈʹͮ͘جύλʔ. ࢹ͢Δׂ߹͕Լ͕Δ͕ݟΒΕͨɽऀݧܦָේͷԻූ. ϯνϟϯΫͰ͋ͬͯɼඃऀݧͷࢹઢͷৼΔ͍ͦΕͧ. ͔ΒଧݤҐஔΛ૾͍ͨ͢͠ΊָේΛར༻͠ͳ͕Β࿅श. ΕҟͳΔɽ·ͨɼ্هͷ 2 ͭͷύλʔϯҎ֎ʹɼෆنଇత. ͍ͯ͠ΔɽҰํɼॳ৺ऀේಡΈͷٕज़͕ߴ͘ͳ͍ͨΊɼ. ͳટ͕·ؚΕΔ߹ྟ͕࣌߸هଟ༻͞Ε͍ͯΔ߹ʹ. ઌड़ͷΑ͏ʹύλʔϯΛൃޙͨ͠ݟࢦͱଧݤҐஔΛهԱ. ָ͓͍ͯේ͔Β֤ԻූͷใͷಡΈऔΓʹूத͢Δඞཁ. ͢ΔͨΊʹݤ൫Λࢹ͢Δɽ͜ͷΑ͏ʹॳ৺ऀ͕౸ୡς. ͕͋ΓଧݤҐஔෳࡶͰ͋ΔͨΊɼߴνϟϯΫӡಈ. ετʹ͓͍ͯଧݤϛε͕গͳ͘ͳͬͯখνϟϯΫ͕. ʹͮ͘جύλʔϯνϟϯΫ͕ܗ͞Ε͍͢Ұํɼௌ֮ɼ. ΔͷɼϐΞϊԋʹ͓͍ͯऀݧܦͷΑ͏ʹָේΛ༗ޮʹ. ࢹ֮ʹͮ͘جύλʔϯνϟϯΫԻָߏʹͮ͘جϑϨʔ. ͢༻׆Δ͜ͱ͕Ͱ͖͍ͯͳ͍ͨΊͰ͋Δͱߟ͑ΒΕΔɽ·. ζνϟϯΫΛܗ͠ʹ͘͘ͳΓɼ͞Βʹָේ͓Αͼݤ൫ͷ. ͨɼ౸ୡςετʹ͓͚Δࢹઢσʔλͱӡಈʹͮ͘جνϟ. ํΛࢹ͠ͳ͚ΒͳΒͳ͍ͱߟ͑ΒΕΔɽ͜Εʹؔ͠. ϯΫʹؔͯ͠ҎԼͷ 2 ͭͷ͕؍ଌ͞Εͨɽ. ͯɼຊ࣮ݧͷ՝֘ͰۂՕॴ͕ͳ͍ͨ͘ͳ͖ͰূݕΊɼ ͜ͷΑ͏ͳνϟϯΫͱࢹઢͷؔ࿈ʹؔͯ͠ࠓʹࡉৄޙௐ. ࡏݱͷଧݤҐஔͱ࣍ͷଧݤҐஔʹ͕͋ڑΔ 2 ͭͷԻූɹ. ͍ͯ͘ඞཁ͕͋Δɽ. ࡏݱͷଧݤҐஔ͔Β࣍ͷଧݤҐஔ·Ͱ͓Αͦ 1 ΦΫλʔϒ. c 2014 Information Processing Society of Japan . 7.
(8) Vol.2014-MUS-102 No.8 2014/2/23. ใॲཧֶձڀݚใࠂ IPSJ SIG Technical Report. [6]. 6. ·ͱΊ ຊͰڀݚɼϐΞϊԋऀͷʑͷϐΞϊֶशͷܧଓత. [7]. ͳه؍Λ௨ͯ͠ɼϐΞϊԋशख़ʹ͏νϟϯΫܗ աఔΛௐ͓ࠪΑͼੳͨ͠ɽ࣮݁ݧՌΑΓɼௌ֮͋Δ͍. [8]. ࢹ֮తͳೝӡಈɼԻָߏ͕ࠜͯͬͳͱڌνϟϯΫ ͕ܗ͞ΕΔ͜ͱ͕໌Β͔ʹͳͬͨɽهͨ͠νϟϯΫ. [9]. େ͖͘ɼӡࢦͷ͍͠ՕॴͰܗ͍͢͠ߴνϟϯΫɼ ӡಈௌ֮తͳೝʹΑΓύλʔϯΛݟग़͢͜ͱͰܗ͞ ΕΔύλʔϯνϟϯΫɼԋ࣌ͷௌ֮ԻָߏʹΑͬͯ. [10]. ೝ͢ΔϑϨʔζνϟϯΫͷ 3 छྨʹྨ͞ΕΔɽϐΞϊ ԋͷशख़աఔʹ͓͍ͯ͜ΕΒ͕ग़͢ݱΔछྨ͕ԋ ऀͷָۂशख़ʹΑͬͯେ͖͘มԽ͢ΔɽҰൠʹɼ࿅श ॳظஈ֊ͰߴύλʔϯʹΑΔখ͞ͳνϟϯΫ͕ଟ. [11]. ܗ͞Ε͍͕͢ɼशख़্͕͕ΔʹͭΕେ͖ͳύλʔ ϯϑϨʔζͷνϟϯΫ͕গܗ͞ΕΔ͜ͱͰָۂશମ Λཧղ͢ΔΑ͏ʹͳΔɽ·ͨɼ࠷ऴతʹܗ͞ΕΔνϟϯ. [12]. Ϋྨࣅʹ͋Δ͜ͱ໌Β͔ʹͳͬͨɽҎ্ͷΑ͏ͳ σʔλͷੳΛ௨ͯ͡ɼνϟϯΫܗͷมԽͷલͷָ ۂͷशಘɾशख़ͷࢦඪͷΈͳΒͣɼΑΓϝλͳೝֶ. [13]. शΛ͏ԋٕೳͷख़ୡͷࢦඪͱͯ͠༗ޮͰ͋Δ͜ͱ͕ ࣔࠦ͞Εͨɽ ࠓޙͷڀݚ՝ͱͯ͠ɼଞͷ՝͚͓ʹۂΔνϟϯΫ. [14]. ܗաఔͷௐࠪɼ࿈ܻͷԻූʢෳͷԻූ͕͕ͨͬܨঢ়ଶ Ͱ͞ࡌهΕ͍ͯΔԻූʣͷָේͷར༻ͳͲ࣮ڥݧΛม͑ ͨνϟϯΫܗաఔͷௐࠪɼνϟϯΫܗͷݟΛ͠༻׆. [15]. ͨϐΞϊֶशࢧԉγεςϜͷఏҊͳͲ͕͋Δɽ. ँࣙ. [16]. ຊڀݚͷҰ෦ɼҰൠࡒஂ๏ਓΧϫΠαϯυٕज़ɾԻ ָৼஂࡒڵͷࢧԉʹΑΔͷͰ͋Δɽ͜͜ʹँͯ͠هҙΛ ද͢ɽ. [17]. ࢀߟจݙ. [18]. [1]. [2]. [3]. [4]. [5]. Ղ, ࣉా , ௩ຊণɿӡࢦೝٕࣝज़Λͨ͠༻׆ϐ ΞϊԋֶशࢧԉγεςϜͷߏங, ใॲཧֶձจࢽ, Vol. 52, No. 2, pp. 917–927 (2011 ). Ղ, ࣉా , ௩ຊণɿϦζϜֶशΛߟྀͨ͠ϐΞ ϊԋֶशࢧԉγεςϜͷઃ࣮ͱܭ, ใॲཧֶձจ ࢽ, Vol. 54, No. 4, pp. 1383–1392 (2013 ). Ղ, ࣉా , ௩ຊণɿγεςϜิॿ͔Βͷ Λߟྀͨ͠ϐΞϊԋֶशγεςϜͷઃ࣮ͱܭ, ίϯ ϐϡʔλιϑτΣΞ (ຊιϑτΣΞՊֶձจࢽ), Vol. 30, No. 4, pp. 51–60 (2013 ). Ղ, ௴ຊੜ, ా༄ܙඒࢠ, ฏాܓೋɿݤ൫্ͷ ԋิॿใӨػೳΛͭϐΞϊֶशࢧԉγεςϜʹ ͓͚Δख़ୡԽϓϩηεʹؔ͢Δௐࠪ, ΠϯλϥΫςΟϒ γεςϜͱιϑτΣΞ XXI: ຊιϑτΣΞՊֶձ WISS2013, pp. 55-60 (2013 ). Weaver, H. E.: Studies of Ocular Behavior in Music Reading, Psychological Monographs, 55(1), pp. 1–29, 1943.. c 2014 Information Processing Society of Japan . [19]. Sakai, K., Kitaguchi, K., Hikosaka, O.: Chunking During Human Visuomotor Sequence Learning,Experimental brain research, 152, pp. 229–242,2003. Ericsson, K. A., ˍ Kintsch, W.:Long-term working memory, Psychological Review, No. 102, Vol. 2, pp. 211– 245 (1995). େᖒஐܙɽݤ൫ָثԋٕೳͷशಘ -visuomotor ֶྻܥश ͷଆ໘͔Β-ɼ৽ׁେֶɼݱࣾձจԽ ڀݚ38ɼpp.101–113 ʢ2007 ʣɽ େౡઍՂ, Ҫϊ্ݾɿෆಘखཁૉΛࠀͤ͞ΔϐΞϊ ֶशࢧԉγεςϜʹΉ͚ͯ, ใॲཧֶձڀݚใࠂ (Ի ָใՊֶڀݚձ 2007-MUS-71), Vol. 2007, No. 81, pp. 185–190 (2007 ). M. Mukai, N. Emura, M. Miura, and M. Yanagida: Generation of Suitable Phrases for Basic Training to Overcome Weak Points in Playing the Piano, Proceedings of International Congress on Acoustics, MUS-07-018 (2007). T. Kitamura and M. Miura: Constructing a Support System for Self-learning Playing the Piano at the Beginning Stage, Proceedings of International Conference on Music Perception and Cognition, pp. 258–262 (2006). S. Akinaga, M. Miura, N. Emura, and Masuzo Yanagida: An Algorithm to Evaluate the Appropriateness for Playing Scales on the Piano, Proceedings of International Congress on Acoustics, MUS-07-005 (2007). S. Akinaga, M. Miura, N. Emura, and Masuzo Yanagida: Toward Realizing Automatic Evaluation of Playing Scales on the Piano, Proceedings of International Conference on Music Perception and Cognition, pp. 1843–1847 (2006). ా৻, ߐଜഢ, ࡾӜխల, ळӬࢠ, ༄ాӹɿԋ ಛͷڧௐ͓ΑͼΞυόΠεจఄࣔʹΑΔϐΞϊૅجԋ ͷಠशࢧԉ, ຊԻֶڹձฏ 20 ळൃڀݚقදձ, pp. 933–934 (2008 ). R. B. Dannenberg, M. Sanchez, A. Joseph, P. Capell, R. Joseph, and R. Saul: A Computer-Based Multi-Media Tutor for Beginning Piano Students, Journal of New Music Research, 19 (2-3), pp. 155–173 (1990). S. Smoliar, J. Waterworth, and P. Kellock: pianoFORTE: A System for Piano Education Beyond Notation Literacy, Proceedings of the Third ACM International Conference on Multimedia, pp. 457–465 (1995). େౡઍՂ, ຊҰࢤ, ླխ࣮ɿతԋڭҭࢧԉʹ ͚ͨੜెͷԻָతཧղͱٕज़शಘͷੳ, ຊֶձ จࢽ, Vol. 8, pp. 21–35 (2004 ). ඉਓ, େౡઍՂ, ຊҰࢤ, බଜণलɿThe Phantom of the Piano: ֶࣗࣗशΛ͛ͳ͍ϐΞϊֶशࢧԉγες ϜͷఏҊ, ใॲཧֶձγϯϙδϜγϦʔζ, Vol. 2006, No. 4, pp. 69–70 (2006 ). ίφϛɿΩʔϘʔυϚχΞ http://www.konami.jp/am/keyboard/.. 8.
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