Klaus Frieler
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Dr. Klaus Frieler - Publications

Jazz Research

  1. Proutskova, P., Wolff, D., Fazekas, G., Frieler, K., Höger, F., Velichkina, O., Solis, G., Weyde, T., Pfleiderer, M., Crayencour, H. C., Peeters, G., & Dixon, S. (2022). The Jazz Ontology: A semantic model and large-scale RDF repositories for jazz. Journal of Web Semantics 74
  2. Frieler, Klaus, & Zaddach, Wolf-Georg (2022). Evaluating an Analysis-by-Synthesis Model for Jazz Improvisation. TISMIR, 5(1), 20-34, .
  3. Beaty, Roger E.; Frieler, Klaus; Norgaard, Martin; Merseal, Hannah M.; MacDonald, Maryellen C. &g; Weiss, Daniel J. (2021). Expert Musical Improvisations Contain Sequencing Biases Seen in Language Production.Journal of Experimental Psychology: General
  4. Corcoran, Christopher, & Frieler, Klaus (2021). Playing It Straight: Analyzing Jazz Soloists’ Swing Eighth-Note Distributions With The Weimar Jazz Database. Music Perception 38(4), 372–85
  5. Frieler, Klaus (2020). Miles Vs. Trane: Computational and Statistical Comparison of the Improvisatory Styles of Miles Davis and John Coltrane. Jazz Perspectives 12,(1), 123-145
  6. Frieler, Klaus; Başaran, Doğaç; Höger, Frank, & Crayencour, Hélène-Camille; Peeters, Geoffroy; Dixon, Simon (2019) Don’t hide in the frames: Note- and pattern-based evaluation of automated melody extraction algorithms. In: Proceedings of the 6th International Conference on Digital Libraries for Musicology (DLfM ’19), November 9, 2019, Den Haag, Niederlande.
  7. Frieler, Klaus; Höger, Frank, & Pfleiderer, Martin (2019). Anatomy of a lick. Structure & variants, history & transmission . In: Book of Abstracts of the Digital Humanities Conference, Utrecht, 2019.
  8. Frieler, Klaus (2019). Constructing jazz lines. Taxonomy, Vocabulary, Grammar . In: M. Pfleiderer & W.-G. Zaddach (Eds.), Jazzforschung heute. Themen, Methoden, Perspektiven, Berlin: Edition Emwas
  9. Höger, Frank; Frieler, Klaus; & Pfleiderer, Martin (2019). Digging into pattern usage within jazz improvisation (Pattern History Explorer, Pattern Search and Similarity Search). In: Book of Abstracts of the Digital Humanities Conference, Utrecht 2019.
  10. Frieler, Klaus (2019). Quellenprobleme der performativen Kulturpraxis. Jazz: Tonaufnahmen und Transkription. In: F. Hentschel (Ed.): Historische Musikwissenschaft. Gegenstand -- Geschichte -- Methodik, pp. 303--307. Laaber: Laaber.
  11. Frieler, Klaus; Höger, Frank; Pfleiderer, Martin, & Dixon, Simon (2018). Two web applications for exploring melodic patterns in jazz solos. In: E. Gómez, X. Hu, E. Humphrey, E. Benetos (Eds.), Proceedings of the 19th International Society for Music Information Retrieval Conference (ISMIR), 2018.
  12. Frieler, Klaus (2018). A feature history of jazz improvisation. Jazz @100. Darmstädter Beiträge zur Jazzforschung (Band 15), pp. 67-90. Hofheim: Wolke Verlag
  13. Pfleiderer, Martin; Frieler, Klaus; Abeßer, Jakob; Zaddach, Wolf-Georg & Burkhard, Benjamin (Eds.) (2017). Inside the Jazzomat. New Perspectives for Jazz Research. Mainz: Schott Campus.
  14. Abeßer, Jakob, Frieler, Klaus; Cano, Estefania; Pfleiderer, Martin & Zaddach, Wolf-Georg (2017). Score-Informed Analysis of Tuning, Intonation, Pitch Modulation, and Dynamics in Jazz Solos. IEEE/ACM Transactions on Audio, Speech and Language Processing. PP(99):1-1. doi: 10.1109/TASLP.2016.2627186.
  15. Frieler, Klaus (2017). Bob Berg's solo on Angles. In: M. Pfleiderer, K. Frieler, J. Abeßer, W.-G. Zaddach, & B. Burkhard (Eds.): Inside the Jazzomat. New Perspectives for Jazz Research(pp. 243-272). Mainz: Schott Campus. (Solo available here)
  16. Abeßr, Jakob & Frieler, Klaus (2017). Score-informed audio analysis of jazz improvisation. In: M. Pfleiderer, K. Frieler, J. Abeßer, W.-G. Zaddach, & B. Burkhard (Eds.): Inside the Jazzomat. New Perspectives for Jazz Research(pp. 97-129). Mainz: Schott Campus.
  17. Frieler, Klaus; Pfleiderer, Martin; Abeßer, Jakob & Zaddach, Wolf-Georg (2016). "Telling a story". On the dramaturgy of monophonic jazz solos. Empirical Musicology Review, 11(1).
  18. Frieler, Klaus; Pfleiderer, Martin; & Zaddach, Wolf-Georg (2016). Pitch class hierarchies in Miles Davis's "So What": Reconsidering modal jazz improvisation with computer-based analysis tools . In: Wolfgang Auhagen & Wolfgang Hirschmann (Eds.), Beitragsarchiv zur Jahrestagung der Gesellschaft für Musikforschung Halle/Saale 2015 - "Musikwissenschaft: die Teildisziplinen im Dialog", Mainz, Schott Campus.
  19. Frieler, Klaus; Pfleiderer, Martin; Abeßer, Jakob & Zaddach, Wolf-Georg (2016). Midlevel analysis of monophonic jazz solos. A new approach to the study of improvisation. Musicae Scientiae, 20 (2), 143-162. Rohdaten und Zusatzmaterial.
  20. Abeßer, Jakob; Cano, Estefania; Frieler, Klaus; Pfleiderer, Martin & Zaddach, Wolf-Georg (2015). Score-informed analysis of intonation and pitch modulation in jazz solos. In: Proceedings of the 16th International Society for Music Information Retrieval Conference, Malaga, 2015.
  21. Frieler, Klaus; Schütz, Martin, & Pfleiderer, Martin (2015). Mid-Level Analysis of Monophonic Jazz Solos. A New Approach to the Study of Improvisation. In: Proceedings of the Ninth Triennial Conference of the European Society for the Cognitive Sciences of Music, Manchester, 2015.
  22. Frieler, Klaus; Pfleiderer, Martin; Abeßer, Jakob & Wolf-Georg Zaddach (2014). Chasing the Difference. Computer-aided Comparison of Improvisation in Post-bop, Hard bop, and Bebop. Jazzforschung / Jazz Research, 46.
  23. Eppler, Arndt; Männchen, Andreas, Abeßer, Jakob; Weiß, Christof & Frieler, Klaus (2014). Automatic Style Classification of Jazz Records with Respect to Rhythm, Tempo, and Tonality. In: Klouchè, T. & Miranda, E. (Eds.): Proceedings of the 8th Conference on Interdisciplinary Musicology (CIM14), Berlin, 4-6 Dezember 2014.
  24. Abeßer, Jakob; Cano, Estafania; Frieler, Klaus & Pfleiderer, Martin (2014). Dynamics in jazz improvisation. Score-informed estimation and contextual analysis of tone intensities in trumpet and saxophone solos. In: Klouchè, T. & Miranda, E. (Eds.): Proceedings of the 8th Conference on Interdisciplinary Musicology (CIM14), Berlin, 4-6 Dezember 2014.
  25. Abeßer, Jakob; Pfleiderer, Martin; Frieler, Klaus & Zaddach, Wolf-Georg (2014). Score-informed Tracking and Con-textual Analysis of Fundamental Frequency Contours in Trumpet and Saxophone Jazz Solos. In: Proceedings of the 17th International Conference On Digital Audio Effects (DAFx-14), Erlangen, Germany, pp. 181-186.
  26. Frieler, Klaus; Abeßer, Jakob &. Zaddach, Wolf-Georg (2014). Exploring phrase form structures. Part II: Monophonic jazz solos. In: Holzapfel, A. (Ed.), Proceedings of the Fourth International Workshop on Folk Music Analysis (FMA2014), Istanbul: Bogaziçi University.
  27. Abeßer, Jakob; Frieler, Klaus; Pfleiderer, Martin & Zaddach, Wolf-Georg (2013). Introducing the Jazzomat project - Jazz solo analysis using Music Information Retrieval methods. In: Proceedings of the 10th International Symposium on Computer Music Multidisciplinary Research (CMMR) Sound, Music and Motion, Marseilles, Frankreich.
  28. Frieler, Klaus; Abeßer, Jakob; Zaddach, Wolf-Georg & Pfleiderer, Martin (2013). Introducing the Jazzomat Project and the Melo(S)py Library. In: Kranenburg, P. van; Anagnostopoulou, C.; Volk, A. (Eds.) Proceedings of the Third International Workshop on Folk Music Analysis, Meertens Institute and Utrecht University Department of Information and Computing Sciences, pp. 76-78.
  29. Lothwesen, Kai & Frieler, Klaus (2011). Gestaltungsmuster und Ideenfluss in Jazzpiano-Improvisationen. Eine Pilotstudie zum Einfluss von Tempo, Tonalität und Expertise. In: Lehmann, A.C., Jeßulat, A. und Wünsch, C. (Eds.) Kreativität: Struktur und Emotion, Würzburg: Königshausen & Neumann.
  30. Pfleiderer, Martin & Frieler, Klaus (2010). The Jazzomat project. Issues and methods for the automatic analysis of jazz improvisations. In: Bader, R., Neuhaus, C. und Morgenstern, U. (Eds.) Concepts, Experiments, and Fieldwork: Studies in Systematic Musicology and Ethnomusicology, Frankfurt/M., Bern: P. Lang, pp. 279-295.

Psychmetrics and musical development

  1. Müllensiefen, D., Elvers, P., & Frieler, K. (2022). Musical development during adolescence: Perceptual skills, cognitive resources, and musical training. Annals of the New York Academy of Sciences.
  2. Lippolis, M., Müllensiefen, D., Frieler, K., Matarrelli, B., Vuust, P., Cassibba, R., & Brattico, E. (2022). Learning to play a musical instrument in the middle school is associated with superior audiovisual working memory and fluid intelligence: A cross-sectional behavioral study. Frontiers in Psychology, 13.
  3. Tsigeman, Elina;Silas; Sebastian; Frieler, Klaus;Likhanov, Maxim; Gelding, Rebecca; Kovas, Yulia & Müllensiefen, Daniel (2022).The Jack and Jill Adaptive Working Memory Task: Construction, Calibration and Validation. PLoS ONE, .
  4. Silas; Sebastian; Müllensiefen, Daniel; Gelding, Rebecca; Frieler, Klaus; & Harrison, Peter M.C. (2022). The associations between music training, musical working memory and visuospatial working memory: an opportunity for causal modelling. Music Perception 39(4), 401-420.
  5. Rimmele, Johanna; Kern, Pius; Lubinus, Christina; Frieler, Klaus; Poeppel, David; & Assaneo, M. Florencia (2022). Musical Sophistication and Speech Auditory-Motor Coupling: Easy Tests for Quick Answers. Frontiers Neuroscience: Auditory Perception, 15

Melody Perception

  1. Müllensiefen, Daniel; Pfleiderer, Martin & Frieler, Klaus (2009). The Perception of Accents in Pop Music Melodies. Journal of New Music Research, 38(1), 19-44.
  2. Müllensiefen, Daniel & Frieler, Klaus (2007). Modelling Experts' Notion of Melodic Similarity. Musicae Scientiae, Discussion Forum 4A, 183-210.
  3. Frieler, Klaus & Müllensiefen, Daniel (2006). Evaluation of approaches to measuring melodic similarity. In: Batagelij, V., Bock, H.-H., Ferligoj, A., Ziberna, A. (Eds.) Data Science and Classification, Berlin: Springer, pp. 299-306.
  4. Müllensiefen, Daniel & Frieler, Klaus (2004). Cognitive Adequacy in the Measurement of Melodic Similarity: Algorithmic vs. Human Judgments. Computing in Musicology, Vol. 13, 147-176.
  5. Müllensiefen, Daniel & Frieler, Klaus (2004). Optimizing Measures of melodic similarity for the exploration of a large folk-song database. In: Proceedings of the 5th International Conference on Music Information Retrieval. Barcelona: Universitat Pompeu Fabra, pp. 274-280.
  6. Müllensiefen, Daniel & Frieler, Klaus (2004). Melodic Similarity: Approaches and Applications.In: Scott Lipscomb, Richard Ashley, Robert Gjerdingen & Peter Webster (Hg.) Proceedings of the 8th International Conference on Music Perception and Cognition.

Emotions & Aesthetics

  1. Omigie, Diana; Frieler, Klaus; Bär, Christian; Muralikrishnan, R.; Wald-Fuhrmann, Melanie and Fischinger, Timo (2019). Experiencing musical beauty: emotional subtypes and their physiological and musico-acoustic correlates. Psychology of Aesthetics, Creativity, and the Arts , online first: doi:10.1037/aca0000271.
  2. Akkermans, Jessica; Schapiro, Renee; Müllensiefen, Daniel; Jakubowski, Kelly; Shanahan, Daniel; Baker, David; Busch, Veronika; Lothwesen, Kai; Elvers, Paul; Fischinger, Timo; Schlemmer, Kathrin & Frieler, Klaus (2018). Decoding emotions in expressive music performances: A multi-lab replication and extension study. Cognition & Emotion. Veröffentlicht online am 8.11.2018. https://doi.org/10.1080/02699931.2018.1541312
  3. Lange, Elke B. & Frieler, Klaus (2018). Challenges and opportunities of predicting musical emotions with perceptual and automatized features. Music Psychology, 36 (2) , 217-242.

Singing & Absolute Pitch

  1. Fischinger, Timo; Frieler, Klaus &, Louhivuori, Jukka (2015). Influence of Virtual Room Acoustics on Choir Singing. Psychomusicology: Music, Mind, and Brain, 25(3), 208-218.
  2. Frieler, Klaus (2015). Absolute Pitch in Oral Transmission of Folk Tunes as Constrained Random Walks. Commentary on Olthof et al. (2015). Empirical Musicology Review, 10(3).
  3. Mauch, Matthias; Frieler, Klaus & Dixon, Simon (2014). Intonation in Unaccompanied Singing: Accuracy, Drift and a Model of Reference Pitch Memory. Journal of the Acoustical Society of America, 136 (1), 401-11.
  4. Frieler, Klaus; Fischinger, Timo; Schlemmer, Kathrin; Jakubowski, Kelly; Müllensiefen, Daniel & Lothwesen, Kai (2013). Absolute Memory for Pitch: A Comparative Replication of Levitin's 1994 Study in Six European Labs. Musicae Scientiae. Special issue: Replication in music psychology , 7(3), 334-349.

Hit Song Science

  1. Frieler, Klaus; Jakubowski, Kelly & Müllensiefen, Daniel (2015). Is it the Song and Not the Singer? Hit Song Prediction Using Structural Features of Melodies. In: Auhagen, W., Bullerjahn, C. & von Georgi, R. (Eds.) Jahrbuch Musikpsychologie 25, Göttingen: Hogrefe-Verlag.
  2. Frieler, Klaus & Riedemann, Frank (2011). Is Independent (Re)creation Likely to Happen in Pop Music? Musicae Scientiae, 15 (1), 17-28.

Computational Musicology

  1. Frieler, K. (2023). Did Melody Become a Schrödinger Cat? Commentary on Clark & Arthur. Empirical Musicology Review, 17(2), 150–153. https://doi.org/10.18061/emr.v17i2.9548
  2. Müllensiefen, D., & Frieler, K. (2022). Statistical Methods in Music Corpus Studies: Application, Use Cases, and Best Practice Examples. In D. Shanahan, J. A. Burgoyne, & I. Quinn (Eds.), The Oxford Handbook of Music and Corpus Studies (1st Ed., pp. C8.S1-C8.N2). Oxford University Press.
  3. Frieler, Klaus (2017). Computational melody analysis. In: M. Pfleiderer, K. Frieler, J. Abeßer, W.-G. Zaddach, & B. Burkhard (Eds.): Inside the Jazzomat. New Perspectives for Jazz Research(pp.41-84). Mainz: Schott Campus.
  4. Frieler, Klaus & Pfleiderer, M. (2017). Onbeat oder offbeat? Überlegungen zur symbolischen Darstellung von Musik am Beispiel der metrischen Quantisierung. Gesellschaft für Informatik, Bonn. doi: 10.18420/in2017_07
  5. Frieler, Klaus (2017). The FlexQ algorithm. In: M. Pfleiderer, K. Frieler, J. Abeßer, W.-G. Zaddach, & B. Burkhard (Eds.): Inside the Jazzomat. New Perspectives for Jazz Research(pp. 319-322). Mainz: Schott Campus.
  6. Frieler, Klaus (2014). Exploring phrase form structures. Part I: European folk songs. In: Holzapfel, A. (Eds.), Proceedings of the Fourth International Workshop on Folk Music Analysis (FMA2014), Istanbul: Bogaziçi University.
  7. Frieler, Klaus; Höger, Frank & Korries, Jörg (2011). Meloworks - An Integrated Retrieval, Analysis and E-learning Platform for Melody Research. In: Schneider, A., und von Ruschkowski, A. (Eds.) Systematic Musicology: Empirical and Theoretical Studies (=Hamburger Jahrbuch für Musikwissenschaft 28), Frankfurt/M.: Peter Lang.
  8. Frieler, Klaus (2009). Mathematik und kognitive Melodieforschung. Hamburg: Verlag Dr. Kovac (Dissertation).
  9. Frieler, Klaus (2008). Metrical Circle Map and Metrical Markov Chains. In: Schneider, A. (Ed.) Systematic and Comparative Musicology, Frankfurt/M., Bern: P. Lang, pp. 157-169.
  10. Frieler, Klaus (2007). Visualizing Music on the Metrical Circle.Proceedings of the 8th International Symposium on Music Information Retrieval, ISMIR2007, Wien: OCG, pp. 291-292.
  11. Frieler, Klaus (2006).Generalized N-gram measures for melodic similarity. In: Batagelij, V., Bock, H.-H., Ferligoj, A., Ziberna, A. (Eds.) Data Science and Classification, Berlin: Springer, pp. 289-299.
  12. Frieler, Klaus (2004). Beat and meter extraction using gaussified onsets. In: Proceedings of the 5th International Conference on Music Information Retrieval. Barcelona: Universitat Pompeu Fabra, pp. 178-183

Audio Branding

  1. Frieler, Klaus (2014). Audio Branding Barometer 2013. In: K. Bronner, R. Hirt, C. Ringe (Eds.), Audio Branding Yearbook 2013/2014. Baden-Baden: Nomos.
  2. Frieler, Klaus (2013). Audio Branding Barometer 2012. In: K. Bronner, R. Hirt, C. Ringe (Eds.), Audio Branding Yearbook 2012/2013. Baden-Baden: Nomos.
  3. Frieler, Klaus (2012). Audio Branding Barometer 2011. In: K. Bronner, R. Hirt, C. Ringe (Eds.), Audio Branding Yearbook 2011/2012. Baden-Baden: Nomos.

Miscellaneous

  1. Janetschek, S., Frieler, K., & Lothwesen, K. (2023). Perception and Experience of Earworms in Music Students and Non-Music Students: Relations With Working Memory, Pitch Imagination, and Musical Experience. Jahrbuch Musikpsychologie, 31, e165. https://doi.org/10.5964/jbdgm.165
  2. Merrill, J., Frieler, K., & Ackermann, T.-I. (2023). The structure of musical dislikes. Psychology of Aesthetics, Creativity, and the Arts. https://doi.org/10.1037/aca0000565
  3. Thissen, Birte A. K.; Schlotz, Wolff; Abel, Cornelius; Scharinger, Mathias; Frieler, Klaus; Merrill, Julia; Haider, Thomas & Menninghaus, Wilfried (2021). At the Heart of Optimal Reading Experiences: Cardiovascular Activity and Flow Experiences in Fiction Reading. Reading Research Quarterly (448)
  4. Hammerschmidt, David; Frieler, Klaus & Wöllner, Clemens (2021).Spontaneous Motor Tempo: Investigating Psychological, Chronobiological, and Demographic Factors in a Large-Scale Online Tapping Experiment. Frontiers in Psychology, 12 (677201)
  5. Frieler, Klaus (2017). Gruppierung, Ordnung und Ähnlichkeit in der Musik. In: A. Lehmann, R. Kopiez (Eds.): Handbuch Musikpsychologie. Bern: Hogrefe.
  6. von Georgi, Richard & Frieler, Klaus (2014). Offenohrigkeit als eine valenz- und stimulusunabhängige Persönlichkeitseigenschaft. Jahrbuch Musikpsychologie (=W. Auhagen, C. Bullerjahn & R. von Georgi (Eds.), Musikpsychologie. Jahrbuch der Deutschen Gesellschaft für Musikpsychologie, Göttingen: Hogrefe), 12/2014, 24:59-86.
  7. Frieler, Klaus; Müllensiefen, Daniel; Fischinger, Timo; Schlemmer, Kathrin; Jakubowski, Kelly & Lothwesen, Kai (2013). Replication in Music Psychology. Musicae Scientiae. Special issue: Replication in music psychology, 7(3), 265-276.
  8. Bronner, Kai; Frieler, Klaus; Bruhn, Herbert; Hirt, Rainer & Piper, Dag. (2012). What is the Sound of Citrus? In: Cambouropoulos, E. et al. (Eds.) Proceedings of the 12th ICMPC and 8th ESCOM, Thessaloniki.
  9. Stetter, Bitten; Wandeler, Eva & Frieler, Klaus (2012). Sketch & Scratch. Das Skizzenbuch im Spannungsfeld analoger und digitaler Arbeitsweisen im ersten Ideenfindungsprozess. Zürich: ZHdK
  10. Schneider, Albrecht & Frieler, Klaus (2009). Perception of Harmonic and Inharmonic Sounds. In: Kronland-Martinet R., Ystad, S. & Jensen, K. (Eds.) Proceedings of the CMMR2008, Lectures Notes in Computer Science, Berlin: Springer, pp. 18-44.
  11. Frieler, Klaus & Rehren, Karl-Henning (1998). A non-abelian square root of abelian vertex operators. J. Math. Phys., Vol. 39, 3073-3090.

Software

  1. Frieler, Klaus (2017–2018). Pattern History Explorer, Feature History Explorer, Parker Pattern Explorer, Shiny Apps
  2. Frieler, Klaus; Abeßer, Jakob & Höger, Frank (2014–2018). MeloSpySuite & MeloSpyGUI Software.
  3. Frieler, Klaus & Abeßer, Jakob (2014–2018). MeloSpyGUI & Weimar Jazz Database: Documentation and Tutorials.
  4. Müllensiefen, Daniel & Frieler, Klaus (2006). The SIMILE algorithms documentation. Interner Technischer Report.