#muana IRM

2021/02/26で発表したIRM×歌いにくさについて　

Transcript

1. ࠷ۙͷώοτιϯά͸
   
   
   Վ͍ʹ͍͘ͷ͔ʁ
   
   
   ʙೝ஌తԻָཧ࿦Ͱ෼ੳͯ͠Έͨʙ
   Music×Analytics Meetup #4
   
   
   ࢁຊ ༤໵ (@yamathcy)
   
   
   2021/02/26
   

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2. ࣗݾ঺հ
   • ࢁຊ ༤໵ʢ΍·΋ͱ Ώ͏΍ʣ@yamatchy
   
   
   • ஜ೾େֶେֶӃਤॻؗ৘ใϝσΟΞݚڀՊത࢜લظ՝ఔ2೥
   
   
   • य़͔Βത࢜ޙظ՝ఔʹਐֶ༧ఆ
   
   
   • ݚڀ෼໺ɿԻָ৘ใॲཧʢಛʹՎʣ
   
   
   • ݚڀͷϞνϕɿΧϥΦέͷेീ൪୳͠Λͯ͘͠ΕΔγεςϜ͕ཉ͍͠ʂ
   
   
   • ݚڀςʔϚɿ
   
   
   • ਓ͕ײ͡ΔՎ͍ʹ͘͞ͷఆྔԽʢֶ෦ʣ
   
   
   • ػցֶशɾਂ૚ֶशʹΑΔՎএςΫχοΫͷ෼ੳʢӃʣ
   
   
   • ޷͖ͳΞʔςΟετɿΰʔϧσϯϘϯόʔ
   

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3. ࠓ೔ͷ಺༰
   • ਓͷೝ஌Λߟྀͨ͠Իָཧ࿦Ͱ͋Δɼೝ஌తԻָཧ࿦ͷҰͭ
   ҉ҙ࣮ݱϞσϧΛ࢖ͬͯՎͷෳࡶ͞ΛϞσϧԽ͓ͨ͠࿩
   

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4. ಥવͰ͕͢
   • ࠷ۙਓؾͷۂɼՎ͏ͷ೉͍͠ۂଟ͘ͳ͍Ͱ͔͢ʁʁ
   
   
   • ۂΛ࡞ͬͨຊਓͰ͢Β೉͍͠ͱݴ͍ͬͯΔέʔε΋…
   

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5. Վ͏ͷ͕೉͍͠ϝϩσΟʁ
   • ͍ΖΜͳཁૉ͕͋Δ
   
   
   • ԻҬɿࣗ෼ͷ੠ҬΛ֎ΕΔͱ೉͍͠
   
   
   • ςϯϙɿ଎͍ͱ೉͍͠
   
   
   • ෳࡶ͞ɿෳࡶͩͱ೉͍͠
   
   
   • ՎࢺͷൃԻͷ͠ʹ͘͞ɿטΜ͡Ό͏
   
   
   • etc…
   Իߴ
   #1.ͱԻՁ
   ՎࢺͷԻӆ
   ʁ
   

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6. ෳࡶ͞ʁ
   • ෳࡶͳϝϩσΟ #ͱ͸
   
   
   →ʢೝ஌తʹʣԻΛ౰ͯͮΒ͍ϝϩσΟʁ
   
   
   →࣍ͷԻΛ༧ଌͮ͠Β͍Α͏ͳԻͷฒͼʁ
   ༧૝௨Γ😄 ༧૝֎😳
   

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7. ҉ҙ࣮ݱϞσϧ (Implication-Realization Model)
   • ೝ஌తԻָཧ࿦ͷҰͭɼϝϩσΟʹର͢Δཧ࿦
   
   
   • ʮਓ͸࣍ʹԿ͕ى͜Δ͔༧ଌ͠ͳ͕ΒԻָΛௌ͘ʯ
   
   
   • ϝϩσΟΛʮ҉ҙʯʹج͍ͮͯͦͷ෦෼ྻΛγϯϘϧԽ
   
   
   • ҉ҙɿ2Ի࿈ଓͯ͠ௌ͍ͨ࣌ɼͦͷ࣍ͷԻΛਓ͕Ͳ͏༧૝͢Δ͔
   
   
   • ࣮ݱɿ҉ҙͷ௨Γʹͳ͔ͬͨͲ͏͔Ͱ෼ྨ
   Ի໨ͱԻ໨ͷ͕ࠩ
   Ͳ͏ͳ͍ͬͯΔ͔
   Ի໨ͱԻ໨ͷࠩ͸ʁ
   ʢԻఔݪཧʣ
   ˠͱˠͷํ޲͸ಉ͡ʁ
   ʢํ޲ݪཧʣ
   ڱ͍ ڱ͍ ಉ͡ํ޲
   ޿͍ ڱ͍ ҟͳΔํ޲
   Eugene Narmour, “The Analysis and Cognition of Melodic Complexity”, The university of Chicago press ,1992
   

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8. ਤղ
   FYڱ͍Իఔ
   ʁ
   ࣍͸zڱΊzʹ
   l্͕Δzʁ
   🤔
   ҉ҙ
   3Ի໨
   ҉ҙ͕࣮ݱ
   
   
   ->γϯϘϧ”P”
   ҉ҙͷ͏ͪ
   
   
   ํ޲ݪཧ͕൱ఆ
   
   
   ->γϯϘϧ”IP”
   ҉ҙͷ͏ͪ
   
   
   Իఔݪཧ͕൱ఆ
   
   
   ->γϯϘϧ”VP”
   ڱΊʹ
   
   
   ্͕Δ
   ڱΊʹ
   
   
   Լ͕Δ
   ޿Ίʹ
   
   
   ্͕Δ
   

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9. ਤղ
   P
   γϯϘϧɿ
   

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10. ਤղ
    P
    γϯϘϧɿ P
    

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11. ਤղ
    P
    γϯϘϧɿ P ID
    

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12. ਤղ
    P
    γϯϘϧɿ P ID P
    

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13. ਤղ
    P
    γϯϘϧɿ P ID P P
    

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14. ਤղ
    P
    γϯϘϧɿ P ID P P
    γϯϘϧͷׂ߹ɹPɿ80ˋ ID: 20ˋ
    

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15. ҉ҙ࣮ݱϞσϧͷγϯϘϧ
    ҉ҙͷݪཧͷ࣮ݱʹج͍ͮͯ෼ྨ
    جຊͷγϯϘϧ
    ྫ֎ͷγϯϘϧ
    2ԻͰ׬݁ 1ԻͰ׬݁
    rP rIP
    ಉํ޲Ͱ޿͍··
    ٯํ޲
    
    
    ڱ->޿
    

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16. ҉ҙͷݪཧͱجຊγϯϘϧͷؔ܎
    γϯϘϧ ԻఔΠϝʔδ ਐߦํ޲ Իߴࠩ Իఔݪཧ ํ޲ݪཧ
    1 PS ಉํ޲ ڱˠڱ ˓ ˓
    *1 PS ٯํ޲ ڱˠڱ ˓ º
    71 PS ಉํ޲ ڱˠ޿ º ˓
    3 PS ٯํ޲ ޿ˠڱ ˓ ˓
    *3 PS ಉํ޲ ޿ˠڱ ˓ º
    73 PS ٯํ޲ ޿ˠ޿ º ˓
    % ෆม ͳ͠
    *% PS ٯํ޲
    ڱˠڱ
    Ի໨ͷԻߴ
    ʹԻ໨ͷԻߴ
    
    ˓ º
    

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17. ҉ҙͷݪཧͱྫ֎γϯϘϧͷؔ܎
    γϯϘϧ ԻఔΠϝʔδ ਐߦํ޲ Իߴࠩ Իఔݪཧ ํ޲ݪཧ
    S1 PS ಉํ޲ ޿ˠ޿ º º
    S*1 PS ٯํ޲ ڱˠ޿ º º
    %ZBE
    ԻͷΈ͕
    ݽཱ
    
    .POBE
    ԻͷΈ͕
    ݽཱ
    
    

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18. • ಐགɾՎ͍΍͍͢ۂɾՎ͍ʹ͍͘ۂͰ҉ҙ࣮ݱϞσϧͷɹɹɹɹɹ
    γϯϘϧग़ݱ౓߹͍ͷҧ͍͸ݟΒΕΔʁ
    ࠓճߦ͏෼ੳ
    

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19. ෼ੳָۂ
    • 3܈ʹ෼͚Δ
    ಐག ؆୯Ί ෳࡶΊ
    ͲΜ͙Γ͜Ζ͜Ζ
    ͪΐ͏ͪΐ
    ϩϯυϯڮ
    ੈքʹҰ͚ͭͩͷՖ
    4."1
    νΣϦʔεϐοπ
    ϚϦʔΰʔϧυ͍͋
    ΈΐΜ
    ՖՐBJLP
    -FNPOถ௡ݰࢣ
    ໷ʹۦ͚Δ:0"40#*
    ന೔,JOH,OV
    

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20. ෼ੳख๏
    1. ָ֤ۂͷϝϩσΟϥΠϯͷ1൪ͷΈͷMIDIΛೖྗ
    
    
    2. ϝϩσΟͷઌ಄͔Β҉ҙ࣮ݱϞσϧʹΑΔ෼ੳΛߦ͏
    
    
    3. 2෼ԻූҎ্ͷ௕͞ͷԻූͰϑϨʔζΛ۠੾Δ
    
    
    4. 3.Ͱ༩͑ͨϑϨʔζʹॱ࣍γϯϘϧ෇༩
    
    
    5. γϯϘϧͷׂ߹Λࢉग़
    

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21. ݁Ռɿಐག
    M
    0%
    Dyad
    0%
    D
    0%
    P
    41%
    R
    0%
    ID
    32%
    IP
    27%
    VP
    0%
    IR
    0%
    VR
    0%
    rP
    0%
    rIP
    0%
    E
    0%
    ロンドン橋
    M
    Dyad
    D
    P
    R
    ID
    IP
    VP
    IR
    M
    0%
    Dyad
    0%
    D
    5% P
    12%
    R
    8%
    ID
    7%
    IP
    61%
    VP
    0%
    IR
    0%
    VR
    0%
    rP
    0%
    rIP
    7%
    E
    0%
    どんぐりころころ
    M
    Dyad
    D
    P
    R
    ID
    IP
    VP
    IR
    Ի਺͕গͳ͍ͷͰׂ߹͕ૈΊ ϩϯυϯڮ͸3छྨ
    M
    0%
    Dyad
    0%
    D
    24%
    P
    13%
    R
    0%
    ID
    4%
    IP
    59%
    VP
    0%
    IR
    0%
    VR
    0%
    rP
    0%
    rIP
    0%
    E
    0%
    ちょうちょ
    M
    Dyad
    D
    P
    R
    ID
    IP
    VP
    IR
    VR
    

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22. ݁Ռɿ؆୯Ί
    M
    0%
    Dyad
    0%
    D
    29%
    P
    17%
    R
    3%
    ID
    5%
    IP
    43%
    VP
    0%
    IR
    0%
    VR
    0%
    rP
    0%
    rIP
    3%
    E
    0%
    世界に⼀つだけの花/SMAP
    M
    Dyad
    D
    P
    R
    ID
    IP
    VP
    IR
    M
    0%
    Dyad
    1%
    D
    14%
    P
    24%
    R
    2%
    ID
    15%
    IP
    42%
    VP
    0%
    IR
    0%
    VR
    0%
    rP
    0%
    rIP
    2%
    E
    0%
    マリーゴールド/あいみょん
    M
    Dyad
    D
    P
    R
    ID
    IP
    VP
    IR
    VR
    M
    0%
    Dyad
    1%
    D
    10%
    P
    33%
    R
    1%
    ID
    12%
    IP
    41%
    VP
    1%
    IR
    0% VR
    0% rP
    0%
    rIP
    1%
    E
    0%
    チェリー/スピッツ
    M
    Dyad
    D
    P
    R
    ID
    IP
    VP
    IR
    VR
    rP
    rIP
    ಐགʹൺ΂ͯภΓ͕ݟΒΕͨ
    
    
    ->ϑϨʔζͷόϦΤʔγϣϯ͕ଟ͍ʁ
    

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23. ݁Ռɿ೉͠Ί
    M
    0%
    Dyad
    1%
    D
    26%
    P
    12%
    R
    3%
    ID
    12%
    IP
    43%
    VP
    1%
    IR
    0%
    VR
    0%
    rP
    0%
    rIP
    2%
    E
    0%
    花⽕/AIKO
    M
    Dyad
    D
    P
    R
    ID
    IP
    VP
    IR
    VR
    rP
    rIP
    M
    0%
    Dyad
    1%
    D
    7%
    P
    19%
    R
    5%
    ID
    14%
    IP
    49%
    VP
    1%
    IR
    0%
    VR
    0%
    rP
    0%
    rIP
    4%
    E
    0%
    ⽩⽇/KING GNU
    M
    Dyad
    D
    P
    R
    ID
    IP
    VP
    IR
    VR
    rP
    M
    0%
    Dyad
    8%
    D
    3%
    P
    40%
    R
    4%
    ID
    16%
    IP
    23%
    VP
    1%
    IR
    1%
    VR
    0%
    rP
    0%
    rIP
    4%
    E
    0%
    夜に駆ける/YOASOBI
    M
    Dyad
    D
    P
    R
    ID
    IP
    VP
    IR
    VR
    rP
    rIP
    M
    0%
    Dyad
    0%
    D
    3%
    P
    43%
    R
    5%
    ID
    18%
    IP
    26%
    VP
    2%
    IR
    0%
    VR
    0%
    rP
    0%
    rIP
    3% E
    0%
    LEMON/⽶津⽞師
    M
    Dyad
    D
    P
    R
    ID
    IP
    VP
    IR
    VR
    rP
    ؆୯Ί܈ʹൺ΂ͯID,R͕ଟΊɼग़ݱγϯϘϧ਺΋ଟΊ
    
    
    ্ԼͰෳࡶ͞ͷੑ࣭͕ҟͳΔʁ
    

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24. ݁࿦
    • ҉ҙ࣮ݱϞσϧʹΑΔ෼ੳʹΑΕ͹…
    
    
    • ಐགΑΓ΋γϯϘϧʹόϦΤʔγϣϯ͋Γ
    
    
    • ࠷ۙͷۂ͸एׯIDͱRͷγϯϘϧͷׂ߹͕ଟ͍
    
    
    • ෳࡶ͞ʹ͸ɼ·͍͔ͨͭ͘ͷύλʔϯ͕͋Γͦ͏
    
    
    • ΑΓଟ͘ͷۂͷ෼ੳ͕ඞཁ
    ຊ౰͸౷ܭతԾઆݕఆ/෼ࢄ෼ੳ·Ͱ΍ͬͯ
    
    
    ༗ҙʹ͕ࠩ͋Δ͔Λݟ͔͕ͨͬͨ
    
    
    ؒʹ߹͍·ͤΜͰͨ͠…
    

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25. Thanks!!
    • ҉ҙ࣮ݱϞσϧؔ࿈
    
    
    • 2020೥౓ஜ೾େֶฏլݚڀࣨଔۀͷઌഐํ
    
    
    • ஑ాपฏ͞ΜʢγϯϘϧ෇༩ϓϩάϥϜ࣮૷/JAZZ΁ͷద༻ʣ
    
    
    • ٶᖒڹ͞ΜʢϙϐϡϥʔԻָ΁ͷద༻ʣ
    
    
    • ັྗతͳϝϩσΟɾՎΛಧ͚͍ͯͩͬͯ͘͞Δɹɹɹɹ
    ΞʔςΟετͷօ༷
    
    
    • ʢՎ͍ʹ͍͘ͱ͔disͬΆ͍͜ͱݴͬͯ͢Έ·ͤΜͰͨ͠… ͜͏͍͏ϝϩσΟ΋ັྗ
    ʹᷓΕ͍ͯͯେ޷͖Ͱ͢ʣ
    

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26. ิॿࢿྉ ʴ ͓·͚
    

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27. ࠓޙ
    • ෳࡶ͞͸Ͳ͔͜ΒʁΛ΋ͬͱৄ͘͠෼ੳ͍ͨ͠
    
    
    • ίʔυਐߦͱϝϩσΟͷ૊Έ߹Θͤ
    
    
    • ͨ͘͞ΜςϯγϣϯίʔυΛ࢖͏ͱ೉͍͠
    
    
    • ϝϩσΟ͕ϧʔτԻͰͳ͍ͱෳࡶʹײ͡Δ
    
    
    • ୯Ұίʔυ಺ͰԻ͕ಈ͘ͱෳࡶʹײ͡Δ
    
    
    • ϦζϜ+Իߴύλʔϯͷ෼ੳ
    
    
    • ϝϩσΟ͕ϧʔτԻͰͳ͍ͱෳࡶʹײ͡Δ
    
    
    • ୯Ұίʔυ಺ͰԻ͕ಈ͘ͱෳࡶʹײ͡Δ
    

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28. ϝϩσΟϥΠϯͷ೉͠͞Λ෼ੳ͢Δ
    • Իָ৘ใՊֶݚڀձͰ༧උ୳ࡧωλͱͯ͠౤ߘ
    
    
    • Իߴ΍BPM౳ͷಛ௃ɾ౷ܭྔ+೉қ౓ධՁͱ૬ؔ෼ੳ΄͔
    
    
    • Վ͍ʹ͘͞ͷܥ౷Λେ·͔ʹ௫Ή΋ɼݸਓ͕ࠩେ͖͘ɼཁҼ΋๲େͰ͋ΔͨΊ
    खʹෛ͓͑ͣଂೖΓঢ়ଶ
    
    
    • ༷ʑͳಛ௃Λߟ͑Δ΋݁ہɼෳࡶ͞ is Կʁͱ͍͏ϞϠϞϠEndʹ
    ࢁຊ༤໵ɼฏլৡɿՎ͍΍͢͞ɾՎ͍ʹ͘͞ʹண໨ָͨ͠ۂݕࡧγεςϜͷͨΊͷϙϐϡϥʔָۂͷՎএ೉қ౓ࢉग़ͷݕ౼ɼ৘ใॲཧֶձݚڀใࠂɼVol.2019‐MUS‐
    124ɼNo.9 (2019)
    

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29. Q. σΟʔϓϥʔχϯάͰͳΜͱ͔ͳΒͳ͍ͷʁ
    • A. ଟ෼ͳΓ·ͤΜ
    
    
    • σΟʔϓϥʔχϯά͸ϥϕϧͱσʔλ͕ͨ͘͞Μඞཁ
    
    
    • ָේσʔλࣗମ͕खʹೖΓʹ͍͘
    
    
    • Վ͍ʹ͘͞ʹؔ͢Δϥϕϧ৘ใ͸΋ͬͱखʹೖΓʹ͍͘
    
    
    • ࠷ۙ͸ϝλσʔλ͕ͳͯ͘΋ಛ௃Λ΋ͱʹ෼͚ͯ͘ΕΔɼɹɹɹɹ
    ਂ૚ڭࢣͳֶ͠श͕τϨϯυͷҰͭɽଟগ͸ଠ౛ଧͪͰ͖ΔΑ͏ʹ
    ͳΔʁ
    

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30. ҉ҙ࣮ݱϞσϧͷݚڀࣄྫ
    • ϝϩσΟੜ੒
    
    
    • Yazawa, S., Hamanaka, M., & Utsuro, T. (2014, August). Melody generation system
    based on a theory of melody sequence. In 2014 International Conference of
    Advanced Informatics: Concept, Theory and Application (ICAICTA) (pp. 336-341).
    IEEE.
    
    
    • ϑϨʔζͷ෼ࢄදݱͷධՁʹ༻͍ͨ
    
    
    • Hirai, T., & Sawada, S. (2019). Melody2vec: Distributed representations of melodic
    phrases based on melody segmentation. Journal of Information Processing, 27,
    278-286.
    
    
    • ༷ʑͳδϟϯϧͷ෼ੳ΁ͷԠ༻
    
    
    • ೳొ෨, ஛઒Ղ੒, & ฏాܓೋ. (2018). ҉ҙ࣮ݱϞσϧʹج͖ͮ࡞ۂՈࣝผΛߦ͏
    HMM ʹ͍ͭͯ. ݚڀใࠂԻ੠ݴޠ৘ใॲཧ (SLP), 2018(18), 1-6.
    
    
    • ٶᖒڹ, & ฏլৡ. (2019). ҉ҙ࣮ݱϞσϧʹجͮ͘ϙϐϡϥʔԻָͷηΫγϣϯ෼
    ੳ. ୈ 81 ճશࠃେձߨԋ࿦จू, 2019(1), 371-372.
    

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31. ͓·͚ᶄɿԻָ৘ใॲཧͰ࢖͑ΔpythonϥΠϒϥϦ
    • Իڹಛ௃நग़
    
    
    • librosa Իڹಛ௃நग़ (https://librosa.org/)
    
    
    • madmom Իָಛ௃நग़ (https://madmom.readthedocs.io/en/latest/)
    
    
    • essentia Իָಛ௃நग़ (https://essentia.upf.edu/essentia_python_tutorial.html)
    
    
    • opensmile Իڹಛ௃நग़ (https://www.audeering.com/2020/10/26/introducing-
    opensmile-3-0/)
    
    
    • ָේσʔλϋϯυϦϯά
    
    
    • Music21 MusicXMLϥΠϒϥϦ (http://web.mit.edu/music21/)
    
    
    • MIDIܥϥΠϒϥϦʢmido, pretty-midi, pypianorollʣ
    
    
    • muspy UC San Diegoൃ Իָࣗಈੜ੒πʔϧΩοτ(https://salu133445.github.io/muspy/)
    
    
    • σʔληοτAPI
    
    
    • mirdata ԻָσʔληοτΛಡΈࠐΉAPIϥΠϒϥϦ (https://mirdata.readthedocs.io/en/
    stable/)
    

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32. ͓·͚ᶄɿԻָ৘ใॲཧͰ࢖͑ΔpythonϥΠϒϥϦ
    • GPUରԠͷDNN༻લॲཧϥΠϒϥϦ
    
    
    • nnAudio: pytorch༻
    
    
    • kapre: Tensor
    fl
    ow༻
    

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33. ͓·͚ᶄɿԻָ৘ใॲཧͰ࢖͑ΔpythonϥΠϒϥϦ
    • ͦͷଞ
    
    
    • mireval Իָ৘ใॲཧλεΫͷධՁࢦඪͷࢉग़ ʢhttps://
    craffel.github.io/mir_eval/ʣ
    
    
    • kymatio ΢ΣʔϒϨοτࢄཚͷܭࢉ (kymat.io)
    
    
    • Omnizart ୆࿷ͷAcademia Sinicaൃࣗಈ࠾ේϥΠϒϥϦ
    (https://pypi.org/project/omnizart/)
    
    
    • FMP-notebook ਆνϡʔτϦΞϧ (https://www.audiolabs-
    erlangen.de/resources/MIR/FMP/C0/C0.html)
    

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34. ͓·͚ᶅɿGTTM
    • GTTMʢGenerative Theory of Tonal Musicʣ
    
    
    • ָۂ͔Β֊૚తͳߏ଄ΛಘΔͨΊͷཧ࿦
    
    
    • ೝ஌తԻָཧ࿦Ͱ͸҉ҙ࣮ݱϞσϧΑΓ΋ϝδϟʔ
    ʢͳҹ৅ʣ
    

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35. ͓·͚ᶅɿGTTMΛߏ੒͢Δαϒཧ࿦
    • ָۂͷߏ଄ΛಘΔͨΊͷ4ͭͷαϒཧ࿦Ͱߏ੒
    
    
    • ߏ଄ͷ෼ੳ
    
    
    • 1. άϧʔϐϯάɿϑϨʔζΛάϧʔϓԽ
    
    
    • 2. ഥઅߏ଄ɿϏʔτΛͱΔ্Ͱͷॏཁ౓Λ෇༩
    
    
    • ؆໿
    
    
    • 3. λΠϜεύϯ؆໿ɿॏཁ౓ʹج͍ͮͯάϧʔϓ಺Ͱ
    ໦ߏ଄Λ֊૚తʹ࡞͍ͬͯ͘
    
    
    • 4. Ԇ௕త؆໿ɿ࿨੠ͷஎ؇ɾۓுʹج͍ͮͯɼɹɹɹ
    άϧʔϓΛ௒͑ͨࢬͷ઀ଓΛߦ͏
    

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36. ͓·͚ᶅɿGTTMʹΑΔ֊૚ߏ଄ͷ֫ಘ
    ϞʔπΝϧτ ϐΞϊιφλ K331.
    ഥઅߏ଄
    άϧʔϐϯά
    ʢଟٛੑ͋Γʣ
    

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37. ͓·͚ᶅɿGTTMʹΑΔ؆໿
    GTTM - RikenAIP ΑΓ
    ൈਮ
    
    
    https://aip.riken.jp/
    uploads/
    775777483bfe107f16
    377730a69f330c.pdf
    

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