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Original Articles

Perceptual Evaluation of Inter-song Similarity in Western Popular Music

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Pages 1-26 | Published online: 31 Mar 2011

References

  • All Music . 2008 . Retrieved from http://www.allmusic.com/
  • Aucoutourier , J. J and Pachet , F. Finding songs that sound the same . Proceedings of the IEEE Benelux Workshop on Model based Processing and Coding of Audio (MPCA-2002) . Leuven, Belgium.
  • Aucoutourier , J. J and Pachet , F. 2004 . Improving timbre similarity: How high's the sky? . Journal of Negative Research Results in Speech and Audio Sciences , 1 ( 1 ) : 1 – 13 .
  • Bella , S. D and Peretz , I. 2005 . Differentiation of classical music requires little learning but rhythm . Cognition , 96B : 65 – 78 .
  • Berenzweig , A. , Logan , B. , Ellis , D. P.W and Whitman , B. 2003 . A large-scale evaluation of acoustic and subjective music similarity measures . Computer Music Journal , 28 : 63 – 76 .
  • Burton , M. L and Nerlove , S. B. 1976 . Balanced designs for triads tests: Two examples from English . Social Science Research , 5 : 247 – 267 .
  • Cambouropoulos , E. 2009 . How similar is similar? . Musicae Scientiae – Discussion Forum , 4B : 7 – 24 .
  • Chupchik , G. C. , Rickert , M and Mendelson , J. 1982 . Similarity and preference judgements of musical stimuli . Scandinavian Journal of Psychology , 23 : 273 – 282 .
  • Deliège , I. 2001 . Similarity perception – categorization – cue abstraction . Music Perception , 18 : 233 – 243 .
  • Duda , R. O. , Hart , P. E and Stork , D. G. 2001 . Pattern classification , New York : Wiley .
  • Eerola , T and Bregman , M. 2007 . Melodic and contextual similarity of folk song phrases . Musicae Scientiae – Discussion Forum , 4A : 211 – 233 .
  • Eerola , T. , Jarvinen , T. , Louhivuori , J and Toiviainen , P. 2001 . Statistical features and perceived similarity of folk melodies . Music Perception , 18 : 275 – 296 .
  • Efron , B and Tibshirani , R. J. 1993 . An Introduction to the Bootstrap , Boca Raton, FL : Chapman & Hall .
  • Goldstone , R. L. 1994 . An efficient method for obtaining similarity data . Behavior Research Methods, Instruments, & Computers , 26 ( 4 ) : 381 – 386 .
  • Green , D. M and Swets , J. A. 1966/1988 . Signal Detection Theory and Psychophysics , Los Altos, CA : Peninsula Publishing .
  • Grey , J. 1977 . Multidimensional perceptual scaling of musical timbres . Journal of the Acoustical Society of America , 61 : 1270 – 1277 .
  • Herre , J. , Allamanche , E. and Ertel , C. How similar do songs sound? Towards modeling human perception of musical similarity . Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) . New Paltz, NY, USA.
  • iTunes . 2008 . Retrieved from http://www.apple.com/itunes/
  • Kendall , M. G. 1975 . Rank Correlation Methods , London : Charles Griffin .
  • Krumhansl , C. L. 1978 . Concerning the applicability of geometric models to similarity data: The interrelationship between similarity and spatial density . Psychological Review , 85 : 445 – 463 .
  • Kruskall , J. B and Wish , M. 1978 . Multidimensional Scaling, Quantitative Applications in the Social Sciences , London : Sage .
  • Lamont , A and Dibben , N. 2001 . Motivic structure and the perception of similarity . Music Perception , 18 : 245 – 274 .
  • Levelt , W. J.M. , van de Geer , J. P and Plomp , R. 1966 . Triadic comparisons of musical intervals . The British Journal of Mathematical and Statistical Psychology , 19 : 163 – 179 .
  • Logan , B. , Ellis , D. P.W and Berenzweig , A. Toward evaluation techniques for music similarity . Proceedings of the 3rd International Symposium on Music Information Retrieval (ISMIR 2002) . Paris, France.
  • Logan , B and Salomon , A. A music similarity function based on signal analysis . Proceedings of the IEEE International Conference on Multimedia and Expo (ICME 2001) . Tokyo, Japan.
  • MacRae , A. W. , Howgate , P and Geelhoed , E. 1990 . Assessing the similarity of odours by sorting and by triadic comparisons . Chemical Senses , 15 : 691 – 699 .
  • McAdams , S and Matzin , D. 2001 . Similarity, invariance and musical variation . Annals of the New York Academy of Sciences , 930 : 62 – 76 .
  • McAdams , S. , Vieillard , S. , Houix , O and Reynolds , R. 2004 . Perception of musical similarity among contemporary thematic materials in two instrumentations . Music Perception , 22 : 207 – 237 .
  • Mirex . 2006 . Mirex website. Retrieved from http://www.music-ir.org/mirex2006
  • Nosofsky , R. M. 1992 . Similarity scaling and cognitive process models . Annual Review of Psychology , 43 : 25 – 54 .
  • Orpen , K. S and Huron , D. 1992 . Measurements of similarity in music: A quantitative approach for non parametric representations . Computers in Music Research , 4 : 1 – 44 .
  • Pampalk , E. A Matlab toolbox to compute music similarity from audio . Proceedings of the 5th International Symposium on Music Information Retrieval (ISMIR 2004) . Barcelona, Spain.
  • Pampalk , E. 2006 . “ Computational models of music similarity and their application in music information retrieval (PhD thesis). Technische Universität Wien ” . Austria
  • Pampalk , E. , Flexer , A and Widmer , G. Improvements of audio-based music similarity and genre classification . Proceedings of the 6th International Symposium on Music Information Retrieval (ISMIR 2005) . London, UK.
  • R-project . 2008 . Retrieved from http://www.r-project.org/
  • Shepard , R. N. 1962a . The analysis of proximities: Multidimensional scaling with unknown distance function I . Psychometrika , 27 ( 2 ) : 125 – 140 .
  • Shepard , R. N. 1962b . The analysis of proximities: Multidimensional scaling with unknown distance function II . Psychometrika , 27 ( 3 ) : 219 – 246 .
  • Shepard , R. N. 1986 . Discrimination and generalization in identification and classification: Comment on Nosofsky . Journal of Experimental Psychology , 115 ( 1 ) : 58 – 61 .
  • Tversky , A. 1977 . Features of similarity . Psychological Review , 84 : 327 – 352 .
  • Tversky , A and Gati , I. 1982 . Similarity, separability, and the triangle inequality . Physchological Review , 89 : 123 – 154 .
  • Young , F. W. and Lewyckyj , R. 1996 . ALSCAL User's Guide , 5th ed. , Chapel Hill : Psychometric Laboratory, University of North Carolina .

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