Skip to main content
Springer Nature Link
Log in

Semantic Contours in Tracks Based on Emotional Tags

  • Conference paper
Computer Music Modeling and Retrieval. Genesis of Meaning in Sound and Music (CMMR 2008)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5493))

Included in the following conference series:

  • 1334 Accesses

Abstract

Outlining a high level cognitive approach to how we select media based on affective user preferences, we model the latent semantics of lyrics as patterns of emotional components. Using a selection of affective last.fm tags as top-down emotional buoys, we apply LSA latent semantic analysis to bottom-up represent the correlation of terms and song lyrics in a vector space that reflects the emotional context. Analyzing the resulting patterns of affective components, by comparing them against last.fm tag clouds describing the corresponding songs, we propose that it might be feasible to automatically generate affective user preferences based on song lyrics.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Meyer, L.B.: Meaning in music and information theory. Journal of Aesthetics and Art Criticism 15, 412–424 (1957)

    Article  Google Scholar 

  2. Temperley, D.: Music and probability. MIT Press, Cambridge (2007)

    MATH  Google Scholar 

  3. Huron, D.: Sweet anticipation: Music and the psychology of expectation. MIT Press, Cambridge (2006)

    Google Scholar 

  4. Jackendoff, R., Lerdahl, F.: The capacity for music: what is it, and what’s special about it? Cognition, 33–72 (2006)

    Google Scholar 

  5. Krumhansl, C.L.: Music: A link between cognition and emotion. Current Directions in Psychological Science, 35–55 (2002)

    Google Scholar 

  6. Jongwha, K., André, E.: Emotion recognition based on physiological changes in music listening. IEEE Transactions on pattern anlysis and machine intelligence 12, 2067–2083 (2008)

    Google Scholar 

  7. Levy, M., Sandler, M.: A semantic space for music derived from social tags. In: Proceedings of the 8th International Conference on Music Information Retrieval, pp. 411–416 (2007)

    Google Scholar 

  8. Hu, X., Bay, M., Downie, S.J.: Creating a simplifed music mood classification ground-truth set. In: Proceedings of the 8th International Conference on Music Information Retrieval, pp. 309–310 (2007)

    Google Scholar 

  9. Levitin, D.J., Menod, V.: Musical structure is processed in “language” areas of the brain: a possible role for Brodmann Area 47 in temporal coherence. NeuroImage 20(4), 2142–2152 (2003)

    Article  Google Scholar 

  10. Calln, C., Tsytsarev, V., Hanakawa, T., Calln, A., Katsuhara, M., Fukuyama, H., Turner, R.: Song and speech: Brain regions involved with perception and covert production. NeuroImage 31(3), 1327–1342 (2006)

    Article  Google Scholar 

  11. Koelsch, S., Siebel, W.A.: Towards a neural basis of music perception. Trends in Cognitive Sciences 9(12), 578–584 (2005)

    Article  Google Scholar 

  12. Steinbeis, N., Koelsch, S.: Shared neural resources between music and language indicate semantic processing of musical tension-resolution patterns. Cerebral Cortex 18(5), 1169–1178 (2008)

    Article  Google Scholar 

  13. Slevc, L.R., Rosenberg, J.C., Patel, A.D.: Language, music and modularity, Evidence for shared processing of linguistic and musical syntax. In: Proceedings of the 10th International Conference on Music Perception & Cognition (2008)

    Google Scholar 

  14. Schön, D., Gordon, R.L., Besson, M.: Musical and linguistic processing in song perception. Annals of the New York Academy of Sciences 1060, 71–81 (2005)

    Article  Google Scholar 

  15. Gallese, V.: Embodied simulation: From neurons to phenomenal experience. Phenomenology and the Cognitive Sciences 4, 23–48 (2005)

    Article  Google Scholar 

  16. Gallese, V., Lakoff, G.: The brain’s concepts: the role of the sensory motor system in conceptual knowledge. Cognitive Neuropsychology 22, 455–479 (2005)

    Article  Google Scholar 

  17. Molnar-Szakacs, I., Overie, K.: Music and mirror neurons: from motion to ‘e’ motion. Social cognitive and affective neuroscience 1(33), 235–241 (2006)

    Article  Google Scholar 

  18. Hansen, L.K., Feng, L.: Cogito componentiter - ergo sum. In: Rocha, J., et al. (eds.) Independent Component Analysis and Blind Signal Separation. LNCS, vol. 3886, pp. 446–453. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  19. Bell, A.J., Sejnowski, T.T.: The independent components of natural scenes are edge filters. Vision Research 37(23), 3327–3338 (1997)

    Article  Google Scholar 

  20. Feng, L., Hansen, L.K.: On phonemes as cognitive components of speech. In: Proceedings of IAPR workshop on cognitive information processing (2008)

    Google Scholar 

  21. Furnas, G.W., Deerwester, S., Dumais, S.T., Landauer, T.K., Harshman, R., Streeter, L.A., Lochbaum, K.E.: Information retrieval using a singular value decomposition model of latent semantic structure. In: 11th annual international SIGIR conference, pp. 465–480 (1988)

    Google Scholar 

  22. Deerwester, S., Dumais, S.T., Furnas, G.W., George, W., Landauer, T., Harshman, R.: Indexing by latent semantic analysis. Journal of the American Society for Information Science 41(6), 391–407 (1990)

    Article  Google Scholar 

  23. Landauer, L.K., Dumais, S.T.: A solution to Plato’s problem: The latent semantic analysis theory of acquisition, induction, and representation of knowledge. Psychological Review, 211–240 (1997)

    Google Scholar 

  24. Cudeiro, J., Sillito, A.M.: Looking back: corticothalamic feedback and early visual processing. Trends in Neurosciences 29(6), 298–306 (2006)

    Article  Google Scholar 

  25. Sillito, A.M., Cudeiro, J., Jones, H.E.: Always returning: feedback and sensory processing in visual cortex and thalamus. Trends in Neurosciences 29(6), 307–316 (2006)

    Article  Google Scholar 

  26. Maunsell, J.H.R., Treue, S.: Feature-based attention in visual cortex. Trends in Neurosciences 29(6), 317–322 (2006)

    Article  Google Scholar 

  27. Storbeck, J., Clore, G.L.: On the interdependence of cognition and emotion. Cognition & Emotion 21(6), 1212–1237 (2007)

    Article  Google Scholar 

  28. Duncan, S., Barret, L.F.: Affect is a form of cognition: a neurobiological analysis. Cognition & Emotion 21(6), 1184–1211 (2007)

    Article  Google Scholar 

  29. Barret, L.F.: Solving the emotion paradox: categorization and the experience of emotion. Personality and social psychology review 10(1), 20–46 (2006)

    Article  Google Scholar 

  30. Osgood, C.E., Suci, G.J., Tannenbaum, P.H.: The measurement of meaning. University of Illinois Press, Urbana (1957)

    Google Scholar 

  31. Russel, J.A.: A circumplex model of affect. Journal of personality and social psychology 39(6), 1161–1178 (1980)

    Article  Google Scholar 

  32. Bradley, M.M., Lang, P.J.: Affective norms for English words (ANEW), Stimuli, instruction manual and affective ratings, The Center for Research in Psychophysiology, University of Florida (1999)

    Google Scholar 

  33. Schubert, E.: Update of the Hevner adjective checklist. Perceptual and Motor Skills (96), 1117–1122 (2003)

    Google Scholar 

  34. Power, M.J.: The structure of emotion: an empirical comparison of six models. Cognition & Emotion 20(5), 694–713 (2006)

    Article  Google Scholar 

  35. Strauss, G.P., Allen, D.N.: Emotional intensity and categorisation ratings for emotional nonemotional words. Cognition & Emotion 22(1), 114–133 (2008)

    Article  Google Scholar 

  36. Bigand, E., Vieillard, S., Madurell, F., Marozeau, J., Dacquet, A.: Multidimensional scaling of emotional responses to music: the effect of musical expertise and of the duration of the excerpts. Cognition & Emotion 19(8) (2005)

    Google Scholar 

  37. Martin, D.I., Berry, M.W.: Mathematical foundations behind latent semantic analysis. In: Handbook of latent semantic analysis. Erlbaum, Mahwah (2007)

    Google Scholar 

  38. Kintsch, W.: Comprehension - a paradigm for cognition. Cambridge University Press, Cambridge (1998)

    Google Scholar 

  39. Pöppel, E.: A hierarchical model of temporal perception. Trends in Cognitive Sciences 1(2), 56–61 (1997)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. DTU Informatics, Technical University of Denmark, Building 321, DK.2800, Kgs.Lyngby, Denmark

    Michael Kai Petersen, Lars Kai Hansen & Andrius Butkus

Authors
  1. Michael Kai Petersen
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Lars Kai Hansen
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Andrius Butkus
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. CNRS Laboratoire de Mécanique et d’Acoustique, 31 chemin Joseph-Aiguier, 13402, Marseille Cedex 20, France

    Sølvi Ystad

  2. CNRS-LMA, 31, Chemin Joseph Aiguier, 13402, Marseille Cedex 20, France

    Richard Kronland-Martinet

  3. Aalborg University Esbjerg, Niels Bohr Vej 8, 6700, Esbjerg, Denmark

    Kristoffer Jensen

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Petersen, M.K., Hansen, L.K., Butkus, A. (2009). Semantic Contours in Tracks Based on Emotional Tags. In: Ystad, S., Kronland-Martinet, R., Jensen, K. (eds) Computer Music Modeling and Retrieval. Genesis of Meaning in Sound and Music. CMMR 2008. Lecture Notes in Computer Science, vol 5493. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02518-1_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-02518-1_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02517-4

  • Online ISBN: 978-3-642-02518-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics