k-pop 히트 유형 분석.pdf

Post on 14-Feb-2017

263 Views

Category:

Documents

2 Downloads

Preview:

Click to see full reader

TRANSCRIPT

  • 17 1, 2014 4, pp.3~34

    K-pop

    * **

    . . . . .

    K-Pop . . , . , , K-pop .

    2 200 . 7 . , , , , , , AC(Verse, Chorus) .

    1 2 3 , 4 , 5 , 6 , 7 () . .

    . . .

    : , K-pop, , ,

    * **

    : 2014 3 18, : 2014 4 17, : 2014 4 23

  • 4

    .

    (Winner takes all)

    .

    . .

    .

    .

    (1999), (2005)

    , .

    . (Money Chord) .

    .1)

    The Axis of Awesome 35

    , . (British Invasion)

    60 (The Beatles) Let It Be

    . 1988

    .

    ,

    . 2011

    2005 .

    .2)

    .

  • K-pop 5

    > .

    (Polyphonic HMI) (Hit Song

    Science: HSS) .

    , 8

    8 (Norah Jones).

    HSS .

    (. , 2003, 2003, 2004).

    , , .

    . , K-pop

    .

    .

    . ,

    .

    .

    .

    1.

    (1)

    .

    , (Burke 1994, Stamm 2000). Burke

  • 6

    .

    ()

    (. , ) .

    . , ,

    .

    , TV,

    . 1990 , TV

    (

    2000, 1998). Bhattacharjee et

    al.(2007) Stevans and Sessions(2005)

    , (2000) P2P

    . (1998) ,

    . (2011)

    (LP, CD, MP3 ) .

    ,

    .

    OST

    (Mussulman 1974). Strobl & Turker(2000) OST, (Greatest Hits)

    . (2005)

    OST .

    , . Rosen(1981) MacDonald(1988)

    . Chung and Cox(1994)

    . Hamlen(1991)

    .

    Sumiko(2011)

    , , . , (2005)

    , . , ,

    .

    ,

    . Sumiko(2011)

  • K-pop 7

    . (2003) PD

    . (2007)

    .

    2011 Top200 20

    .

    (2)

    .

    (Spectrum Analysis), HSS(Hit Song Science), HPE(Hit Potential Equation) .

    Richard & John(1975) .

    , (Frequency), (Amplitude)

    .

    .

    Polyphonic HMI HSS

    . 1 10 , 7

    . 50 (Pop), (Rock),

    (Country), (Rap), (Jazz), (Classic) 350

    , (Melody), (Tempo), (Rhythm), (Chord

    Progression), (Pitch) .

    . (Bristol)

    50 UK 40 30

    40 (University of Bristol

    2012). , (Time Signature), (Song Length), ()

    3) (Harmonic Simplicity), , ,

    .

    3) (Harmony) , . , , 3 .

  • 8

    23

    (Hit Potential Equation) , .4).

    Top5 30 60%

    .

    80 , 80

    . 90 ,

    .

    (3)

    .

    .

    , ,

    . ,

    , , ,

    , , , , , ( , 2009).

    (Moore 1993).

    . (Art Rock)

    ,

    .

    ,

    ( , 2009). 1920 ,

    , 1980

    1960 Rock (Hardy & Laing 1990).

    .

    4) , , 201112.18.

  • K-pop 9

    ()/

    Sloboda(1985) Gaston(1968)

    . (rythm)

    ,

    .

    (Apel 1944).

    (Fraisse 1982, Sink 1984, Lundin 1967,

    Farnsworth 1969, Cooper & Meyer 1960). (tempo) 5).

    (Lundin

    1967, Farnsworth 1969). .

    ,

    .

    . , bpm 60-120

    (Geringer, Madsen & Duke, 1993), bpm 120

    (Duke 1987)6).

    (Geringer & Madsen 1984, Wang 1984).

    : , ,

    .

    (Brilliance) (Fullness of Sound) . ,

    , , .

    . (Volume; loud)

    , (Density) (Radocy & Boyle, 2007). Guisao &

    Stevens(1964) Stevens(1975) .

    .

    ,

    . , ,

    5) Mursell(1937) (Phrase Rhythm) , Creston(1964) (Meter), (Pace), (Accent), (Pattern) . Gordon(1971) (Tempo Beat), (Meter Beat), (Melodic Rhythm) .

    6) bpm 100 1 100 bpm .

  • 10

    . , TV

    .

    . (Noisy)

    Lo-Fi . Lo-Fi Hi-Fi7)

    . () .

    .

    1994 Lo-Fi

    Hi-Fi , 12bit

    . , Lo-Fi

    . Hi-Fi Lo-Fi .

    . 5

    , 2~3 . Intro, Verse, b-part,

    Chorus , Intro(Introduction) , Verse A, b-part(Transitional

    Bridge B-Section) B, Chorus C(), Solo(Interlude) , Bridge(Primary

    Bridge) D, Outro . 1

    . .

    , ABC, ABCD, AC, CABC , ABC 1 A, B,

    C , ABCD 1 D

    . D

    . AC Verse Chorus AC .

    AB , b-part ,

    (Chorus) B Verse-b-part, Verse-Chorus AB

    . AB, AC .

    ()

    (Chord) .

    () ()

    , ,

    (Radocy & Boyle, 2007).

    7) Hi-Fi 20Hz20KHz , .

  • K-pop 11

    -, -, -

    (Van de Geer, Levelt & Plomp 1962).

    () (Chord Progression) , ()

    . (Melody), (Rhythm), (Harmony)

    . Nancy and Gerald(2001) .

    (Tonic Chord: ) ,

    .

    .

    (Melody Progression) .

    . Roederer(1995)

    .

    .

    .

    /

    () (Tonality) (Key)

    . (), (), ()

    .

    . (),

    .

    . ,

    . ,

    (Radocy & Boyle, 2007).

    (Key) .

    . ,

    , /

    . ABCD ,

    (C Major) Bridge , Chorus 1

    (D Major) .

    .

  • 12

    /

    (Register) , ,

    .

    () . (Low Register), (Middle

    Register), (High Register) , , ,

    , , , .

    (Octave) 8 C1() C2()

    . 1 2 . C1 C2 1

    , C2 C1 .

    .

    , .

    . 4

    3 . (Hit Potential

    Equation) , 90 4

    .

    Gee (Hook Song) .

    . (Hook) (Killer

    Melody) . Gee gee-gee-gee-gee-gee Hook ,

    .

    .

    1.

    ( ) . ,

  • K-pop 13

    . , () .

    HMI HSS , HMI , ,

    . .

    .

    ( )

    . 72

    72 ( 2009).

    . , (Staccato)

    (Accent) (Radocy &

    Boyle, 2007). (Legato)

    .

    (, , , )

    .

    .

    .

    (2009)

    .

    , , / . ,

    , , ,

    , , , .

    2.

    TOP 200 . , ,

    . ,

    . 8) 2010~2011

    8) (2009~2013) 2010 2 23

  • 14

    ( ) 375 .

    .

    , .

    . 192Kbps

    MP3 FLAC(Free Lossless Audio Codec)

    9), 320Kbps

    . ,

    , . (

    , ), , , , ( , , ,

    ), . ,

    , , . Sony Sound Forge

    10 , , .

    Spectrum Analyser .

    Statistics MP3Gain

    . BPM Analyser

    .

    3.

    , (Allmusic.com) ,

    . ,

    (R&B),

    ,

    , /,

    ,

    , 7

    . (Trot)

    .

    (Sound) (Volume ; Loud) (Noisy) .

    Sound Forge MP3Gain

    9) MP3, , 2011.04.15

  • K-pop 15

    (%)

    (%)

    (Ballad) 124 32.0%

    1

    1 11 2.8%

    (R&B) 49 12.7% 1 ~ 1 10 44 11.4%

    (Dance) 45 11.6% 1 11 ~ 1 20 76 19.6%

    (Electronic) 91 23.5% 1 21 ~ 1 30 86 22.2%

    /(Hip-Hop/Rap) 40 10.3% 1 31 ~ 1 40 77 19.9%

    (Rock) 19 4.9% 1 41 ~ 1 50 51 13.2%

    (Folk) 10 2.6% 1 51 ~ 2 20 5.2%

    (Etc.) 9 2.3% 2 22 5.7%

    Noisy:Lo-Fi

    Noisy(Lo-Fi) 183 47.3%

    3 8 2.1%

    Noisy(Lo-Fi) 204 52.7% 3 ~ 3 20 65 16.8%

    207 53.5% 3 21 ~ 3 40 117 30.2%

    180 46.5% 3 41 ~ 3 59 109 28.2%

    95, 105 .

    -(Lo-Fi)

    . BPM .

    28 ,

    6 . A C

    . A Verse , C

    (Chorus) . ABCD, ABC,

    ACD, AC CABCD, CACD . A Verse, B

    b-part, C Chorus, D Bridge .

    , 1, .

    (Intro) (Outro) ,

    . (Key) (Major) (Minor)

    . ,

    , .

    , , , , , ,

    , , ,

    . .

  • 16

    (%)

    (%)

    ABCD 134 34.6%

    4 ~ 4 20 45 11.6%ABC 70 18.1% 4 21 ~ 4 40 31 8.0%ACD 66 17.1% 4 41 ~ 4 59 8 2.1%AC 27 7.0% 5 4 1.0%

    CABCD 74 19.1%

    298 77.0%CACD 16 4.1% 28 7.2%%

    /

    = Hook 363 93.8% 2 0.5%

    Hook 24 6.2% 11 2.8%

    246 63.6% 40 10.3%/ / 95 24.5% 6 1.6%

    46 11.9% 1 0.3%

    189 48.8% 1 0.3%

    198 51.2%

    139 35.9%

    180 46.5% 131 33.9%

    207 53.5% 116 30.0%

    5 74 19.1% 1 0.3%

    265 68.5%

    6 ~ 10 48 12.4% 122 31.5%

    11 ~ 15 104 26.9%

    315 81.4%16 ~ 20 79 20.4%

    71 18.3%21 ~ 25 57 14.7%

    1 0.3%26 ~ 30 13 3.4%

    / () 103.15

    31 12 3.1% () 99.18

    .

    1.

    . (factor analysis) .

  • K-pop 17

    0.5

    . , ,

    , 0.6 . 1

    . KMO .623, .000 .

    ( )

    1 2 3 4

    0.750 -0.028 -0.023 -0.226 0.683 0.085 0.008 0.022 0.666 -0.178 -0.158 0.123 0.559 -0.171 0.144 -0.007

    -0.178 0.836 0.046 -0.035 -0.318 0.747 0.030 -0.070

    0.364 0.632 -0.111 0.145

    / 0.050 0.074 0.747 0.026 0.026 -0.092 0.745 -0.068 -0.070 0.007 0.611 0.029

    AC 0.025 -0.136 0.040 0.762AC -0.060 0.128 -0.039 0.703

    ,

    . , , , / , AC

    .

    , .

    , 1, ,

    ,

    .

    AC .

    4 .

    K-means . (hierarchical cluster analysis)

    . 7

    . 7

  • 18

    3>

    .

    F

    1 41.683 6 0.349 375 119.410 .000 2 35.260 6 0.452 375 78.039 .000 3 38.780 6 0.396 375 98.049 .000 4 55.018 6 0.136 375 405.424 .000

    2.

    7 .

    .

    1 63% 14%

    . 73% Hi-Fi , 68%

    14% . 109 .

    . 3 21 ~ 3 59 76%

    18%p ,

    , .

    1 Roly-Poly

    . 1 .

    1 4 (Key of C) , ,

    5 (Key of D) .

    . 2 Bridge , 1

    . 1 A() 2

    Bb(b) (Key of Eb) , / /

    .

  • K-pop 19

    1 ()10)

    .

    , . 1 4

    (Key of C) . ,

    6 (Key of D) . .

    2 , 3 . 3 E

    () F() (Key of Eb)

    / / .

    1 (1)

    10)

  • 20

    1 Roly-Poly .

    AmFCG(VImIVIV) . IVVIm-IV , (Key of C) C-G-Am-F. C-G, Am-F

    Am-F-C-G , Roly-Poly .

    Roly-Poly .

    Roly-Poly11)

    1 (2)

    2 58% Hi-Fi ,

    . 82% 28%p .

    .

    Chorus 31% , 55%

    . / / 35%, 20%.

    11)

  • K-pop 21

    5 70% / .

    17% 7%p . 2

    .

    3 , Hi-Fi

    . , , . 69%

    15%p . ABC 41% 18%

    23%p . 76%, 86%

    , 1, .

    ,

    17% . 3

    .

    3 , , ,

    . Verse .

    , Dm-Dm/C-G/B-C/Bb-F/A Bb

    A .

    . 1 2

    , 2 3 . 3

    4 .

    ()12)

    .

    1 1

    . 2 , 3

    4 .

    12)

  • 22

    3

    5% 4 ,

    , . AC, Verse, Chorus

    . 7% AC ,

    AC .

    , / / 31% 6.5%p . 3

    40 ,

    .

    4 .

    ,

    . 4

    Love Song .

    5 80%

    . 127, 100 , 60% Lo-Fi

    . , 83%

    . ABCD 55% 20%p

    . 11% ,

    () . 3 40

    70% , 10 19%, 16~25 45%

    12%p, 10%p , ,

    . 5

    60% . 5

    2NE1 .

    6 47%, (/ ) 37%

    . 14p 89. Noisy 66%

    / , . 16 ~ 25 53%, 1

    1 31~1 50 67%, 3 41 83%

  • K-pop 23

    .

    32% , 3

    . 6 Hello Grand Final .

    7 , 80% Hi-Fi

    . 7

    . 160 100

    93 10p .

    AC , 1, .

    , , AC AAC A(Verse)

    . 7 .

    1 &

    68% 14%p , 94%

    , Roly-Poly

    2

    &

    82%, Chorus 31% 55% 5 50% , 68%, 73%

    ,

    3

    70% , ABC 41% , ( 76%, 86%) : , 17%, 26%

    ,

    4

    , 50% AC(Verse, Chorus) 31% / / /,

    , Love Song

    5

    , Noisy ()

    ,

    6 &

    // + Noisy /

    Hello, Grand Final

    7 AC , AC

  • 24

    3.

    (1)

    . , (, ) ), ,

    (, ), OST, , , .

    . 5, 4

    . , .

    2010~2011 Top200 , 59%,

    48% ( 4%, 8%),

    19% . 8%,

    3%, 10%, 8%.

    17%, 22%, 18%, 24%, 20%, 57%, 19%, 13%, 11% .

    (%)

    227 59% 160 41%

    186 48% 201 52%

    16 4% 32 8%

    74 19% 31 8% 10 3%

    (OST) 40 10% 33 8%

    13)

    1 65 17%2 85 22%3 68 18%4 93 24%5 76 20%

    14)

    1 219 57%2 74 19%3 51 13%4 43 11%

    13) 1 YG, 2 , CJ E&M, 3 SM, , , , 4 JYP,, , ,

  • K-pop 25

    (2)

    . , 1 2 ,

    . 2 4 37% .

    3 64% , 14%

    . 29%, 31%

    . 4 . ,

    13%, 19%, 16% 10%p,

    11%p, 8%p . 5 85%, 83%

    . 1 2 52%

    . 6 .

    20%p , 3%p

    . ,

    . 7 67%

    .

    1 & , (18%) 3, 4, 5 63%

    2

    &

    , (16%) (21%),4 (37%)

    3 (31%) (64%), (14%) (29%), (26%)

    4 (13%) (22%)

    5 (85%) (83%) ( 1 2 80%)

    6 & (31%) ( 24% )

    7 AC

    (67%) (67%) (56%)

    DSP, F&C Music 14) 1 , CJ E&M, 2 KMP , KT, Universal Music,

    3 SM, Sony Music,

  • 26

    (3)

    , .

    5%, 1% .

    .

    , 7 3 .

    , 5 4 . , AC

    ,

    .

    N 1 2 3 F-test(p-value)

    3 37 1,586,366

    2.668 (.015*)

    6 65 1,609,807 1,609,8072 68 1,674,620 1,674,6204 29 1,845,957 1,845,957 1,845,9571 55 1,860,534 1,860,534 1,860,5345 82 1,894,901 1,894,9017 8 1,969,386

    .126 .111 .485

    N 1 2 F test(p-value)

    3 35 10,958,078

    3.22 (0.004**)

    1 59 12,903,251 12,903,251

    7 6 13,833,372 13,833,372

    2 63 14,028,011 14,028,011

    6 60 14,321,066 14,321,066

    4 27 15,233,989

    5 82 15,489,448

    .069 .176

  • K-pop 27

    .

    K-pop

    .

    . ,

    .

    . (Dan Levitin)

    DNA 500 .

    ( 2009).

    .

    (University of Bristol 2012).

    .

    .

    AC .

    , , ABCD

    ,

    .

    .

    ,

    .

    , .

    ,

    . 7

    , ,

    , , , , AC(Verse, Chorus)

    .

    .

  • 28

    . , ,

    .

    .

    .

    .

    ,

    . , ,

    , , (Key)

    .

    (Featuring) (Collaboration)

    . , /

    . MBC

    (Collaboration)

    .

    ,

    .

    .

    .

    ,

    .

    , 2 3

    , 7 AC . ,

    OST,

    .

    . ,

    ,

    .

    .

  • K-pop 29

    .

    .

    AC OST

    . ,

    .

    .

    . ,

    . K-pop

    . ,

    .

    .

    .

    .

    .

    .

  • 30

    .

    (2001). , .

    (2001). , .

    , (2005). , , 16(2): 1-14.(1999). :

    , . (2009). , .(2001). MP3 -

    , (2003). ,

    .

    (2009) : , .(1998).

    , .(2004). , , 16: 195-215.(2005). :

    , , 13(4): 102-119(2007). ,

    .

    (1999). , ., (2011). , . (2005). , , . (2007).

    , .

  • K-pop 31

    .

    Apel, W. (1944). Harvard Dictionary of Music, Cambridge: Harvard University Press.

    Asai, S. (2011). Demand Analysis of hit Music in Japan, Journal of Cultural Economics.

    35: 101-117.

    Bhattacharjee, S., Gopal, R. D., Lertwachara, K., Marsden, J. R., & Telang, R. (2007). The

    Effect of Digital Sharing Technologies on Music Markets: A Survival Analysis of

    Albums on Ranking Charts, Management Science, 53(9): 13591374.Burke, A. E. (1994). The Demand for Vinyl L.P. s 19751988, Journal of Cultural Economics,

    18(1): 4164.Chung, K. H., & Cox, R. A. K. (1994). A Stochastic Model of Superstardom: An Application

    of the Yule Distribution, Review of Economics and Statistics, 76(4): 771775.Cooper, G., & Meyer, L. B. (1960). The Rhythmic Structure of Music, Chicago : The University

    of Chicago Press.

    Creston, P. (1964). Principles of rhythm, New York: Franco Columbo.

    Duke, R. A. (1987). Musicians Perception of Beat in Monotonic Stimuli, Unpublished

    research paper, MENC Southern Division Conference, Orlando, FL, May.

    Farnsworth P, R. (1969). The Social Psychology of Music(2nd ed.). Ames: Iowa State University

    Press.

    Fraisse, P. (1982). Rhythm and Tempo(Ed.), The Psychology of Music(pp. 149-180).

    New York : Academic Press.

    Gaston, E. T. (1968). Man and Music. In E. T. Gaston (Ed.), Music in Therapy (pp.7-21).

    New York: Macmillan

    Geringer, J. M., & Madsen, C. K. (1984). Pitch and Tempo Discrimination in Recorded

    Crchestral Music among Musicians, Journal of Research in Music Education, 32:

    195-204.

    Geringer, J. M., Madsen, C. K., & Duke, R. A. (1993). Perception of Beat Note Change

    in Modulating Tempos, Council for Research in Music Education, 119: 49-57.

    Gordon, E. (1971). The Psychology of Music Teaching. Englewood Cliffs, NJ : Prentice-Hall.

    Hamlen, W. A. (1991). Superstardom in Popular Music: Empirical evidence, Review of

    Economics and Statistics, 73(4): 729733.Lundin, R, W. (1967). An Objective Psychology of Music(2nd ed.), New York: Ronald Press

    MacDonald, M. (1988). The Economics of Rising Stars, American Economic Review,

  • 32

    78: 155-166

    Mursell, J. L. (1937). Psychology of Music, New York: McGraw-Hill.

    Mussulman, J. A. (1974). The Uses of Music : An Introduction to Music in

    Contemporary American Life, Englewood Cliffs, NJ : Prentice-Hall.

    Roederer, J. G. (1995). The Physics and Psychophysics of Music : An Introduction(3rd

    ed.), New York : Spring-Verlag.

    Rosen, S. (1981). The Economics of Superstars. American Economic Review, 71(5): 845858.Sink, P. E. (1984). Effects of Rhythmic and Melodic Alterations and Selected Musical

    Experiences on Rhythmic Processing, Journal of Research in Music Education,

    32, 177-194.

    Sloboda, J. A. (1985). The Musical Mind, Oxford: Clarendon Press.

    Stamm, K. B. (2000). Music Industry Economics, Lampeter, Ceredigion, UK: The Edwin

    Mellen Press.

    Stevans, L. K., & Sessions, D. N. (2005). An Empirical Investigation into the Effect of

    Music Downloading on the Consumer Expenditure of Recorded Music: A Time

    Series Rpproach, Journal of Consumer Policy, 28(3): 311324.Stevens, S. S. (1975). Psychophysics, New York: Wiley.

    Strobl, E. & Tucker, C. (2000), The Dynamics of Chart Success in the U.K. Pre-recorded

    Popular Music Industry, Journal of Cultural Economics, 24, 113-134.

    University of Bristol (2012). Can Science Predict a Hit Song?, Journal of Robotics &

    Machine Learning, 140: 195-204.

    Van de Geer, J. P., Levelt, W. J. M., & Plomp, R. (1962). The Connotation of Musical

    Consonance, Acta Psychologica, 20: 308-319.

    Wang, C. C. (1984). Effects of Some Aspects of Rhythm on Tempo Perception, Journal

    of Research in Music Education, 31: 49-55.

  • K-pop 33

    [Abstract]

    Clustering K-Pop Hit Songs

    Choi, Hyeok-Jae*Ahn, Sung-Ah**

    The popularity of K-Pop has spread beyond Asia and into the global market.

    However, although studies have focused on external factors of Korean music, such as

    singers and media, there is a lack of research on the hit songs themselves.

    The purpose of this study is to identify the characteristics of hit song types based on

    musical factors in order to find the determinants of success in K-pop songs. Other external

    characteristics such as sales are also considered to explain the differences among the types.

    In this paper, data from the top 200 songs in a K-pop chart were collected and

    cluster analysis was applied. The results show that there are seven hit song groups that

    reflect the recent trends in the music market. First, recent hit songs have more complex

    forms than older hit songs. Even songs with simple forms can have appeal to mass consumers

    by using different compositions and arrangements. Second, dance music, including electronica,

    has had a significant impact on K-pop, which shows an active embracing of trendy pop

    arrangements and sounds. The current popular music of South Korea seems to be as

    competitive as its overseas counterparts in the global market. Third, rock and indie music

    with low market shares in the environment of K-pop has grown considerably through television

    programs. Last, collaborations such as works that involve feature singers promote exchanges

    and development between different genres.

    This study plays the role of a bridge between the knowledge of music and economic

    methodologies. Furthermore, the results based on musical factors have helped identify

    recent music trends and offer hit musical notes and characters, topics that have not been

    discussed in previous studies. Such data may be useful for producers and creators in

    * Chugye university for the Arts, Graduate school of Culture and Ats Business, Department of Entertainment Business, Master of Business Administration, swedien@nate.com

    ** Chugye university for the Arts, Department of Film and Entertainment. Professor, jolean@chugye.ac.kr.

  • 34

    composing popular songs and developing marketing strategies.

    Key Words : K-pop, music, music industry, hit song, cluster analysis

top related