Skip to content

Publications

Theses

  • P. van Kranenburg. A Computational Approach to Content-Based Retrieval of Folk Song Melodies. Ph.D. thesis. Utrecht University, 2010. (English, with Dutch summary – download pdf).
  • P. van Kranenburg. De fuga in f (BWV 534) van Johann Sebastian Bach? – Verkenning van een kwantitatieve methode voor het modelleren van muzikale stijl. Master Thesis Musicology. Utrecht, 2004. (Dutch, with English summary – download pdf).

Journal Papers

  • P. van Kranenburg, M. de Bruin, and A. Volk. “Documenting a song culture: the Dutch Song Database as a resource for musicological research”. International Journal on Digital Libraries. Online-first publication. 2017. doi:10.1007/s00799-017-0228-4. (download pdf).
  • B. Janssen, P. van Kranenburg, and A. Volk. “Finding Occurrences of Melodic Segments in Folk Songs Employing Symbolic Similarity Measures”. Journal of New Music Research 46 (2017), issue 2, pp. 118-134. doi:10.1080/09298215.2017.1316292.
  • R. Harris, P. van Kranenburg, and B.M. de Jong. “Behavioral Quantification of Audiomotor Transformations in Improvising and Score-Dependent Musicians”. PLoS ONE 11 (2016), issue 11. e0166033. doi:10.1371/journal.pone.0166033.
  • P. van Kranenburg, A. Volk, and F. Wiering. “A Comparison between Global and Local Features for Computational Classification of Folk Song Melodies”. Journal of New Music Research 42 (2013), pp. 1-18. doi:10.1080/09298215.2012.718790.
  • A. Volk, and P. van Kranenburg. “Melodic similarity among folk songs: An annotation study on similarity-based categorization in music”. Musicae Scientiae 16 (2012), issue 3, pp. 317-339. doi:10.1177/1029864912448329.
  • M. Lefeber, P. van Kranenburg, and M. Marolt. “Identificatie van repertoire van achttiende-eeuwse bellenspeelklokken op basis van automatische vergelijking”. Tijdschrift van de Koninklijke Vereniging voor Nederlandse muziekgeschiedenis, LXI-1/2 (2011), pp. 147-161.
  • P. van Kranenburg, J. Garbers, A. Volk, F. Wiering, L.P. Grijp, and R.C. Veltkamp. “Collaboration Perspectives for Folk Song Research and Music Information Retrieval: The Indispensable Role of Computational Musicology”. Journal of Interdisciplinary Music Studies 4 (2010), issue 1, pp. 17-43. (download pdf).
  • P. van Kranenburg. “On Measuring Musical Style – The Case of Some Disputed Organ Fugues in the J.S. Bach (BWV) Catalogue”. Computing In Musicology 15 (2007-8). Online version. (download pdf).
  • E. Backer and P. van Kranenburg. “On musical stylometry – a pattern recognition approach”. Pattern Recognition Letters 26 (2005), issue 3, pp. 299–309. doi:10.1016/j.patrec.2004.10.016.
  • P. van Kranenburg and E. Backer. “Un metodo quantitativo per distinguere stili musicali”. Rivista di Analisi e Teoria Musicale, 2004/2, pp. 59–70.

Book Chapters

  • B. Janssen, W.B. de Haas, A. Volk, and P. van Kranenburg. “Finding Repeated Patterns in Music: State of Knowledge, Challenges, Perspectives”. M. Aramaki, O. Derrien, R. Kronland-Martinet, and S. Ystad (eds.). Sound, Music, and Motion. Cham: Springer, 2014, pp. 277-297.
  • P. van Kranenburg and J. Zoutendijk. “A pattern recognition approach to the attribution of early seventeenth-century compositions using features of diminutions”. D.J. Smith and R. Taylor (eds.). Networks of music and culture in the late sixteenth and early seventeenth centuries. Farnham: Ashgate, 2013, pp. 169–184.
  • P. van Kranenburg and E. Backer. “Recognizing Musical Style”. C.H. Chen and P.S.P. Wang (eds.). Handbook of Pattern Recognition and Computer Vision.  Singapore, 2005, pp. 583–600.
  • P. van Kranenburg. “Rondom het Vlaardingse orgel”. Stichting Orgelhistorische Studies (ed.). Het orgel in de Grote Kerk te Vlaardingen – chef d’oeuvre de feu M. Van Peteghem. Vlaardingen, 2005.
  • P. van Kranenburg. “Abraham van den Kerckhoven”. A. Zoutendijk (ed.). Abraham van den Kerckhoven – Een Meester groot gheacht. Vlaardingen, 2001.

Data sets

Scientific Volumes

  • P. van Kranenburg, C. Anagnostopoulou, and A. Volk (eds.). Proceedings of the Third International Workshop on Folk Music Analysis. Amsterdam: Meertens Institute, Utrecht: Department of Information and Computing Sciences, Utrecht University, 2013. full-text.

Reports

  • P. van Kranenburg, Berit Janssen, Anja Volk. “The Meertens Tune Collections: The Annotated Corpus (MTC-ANN) Versions 1.1 and 2.0.1”. Meertens Online Reports, No. 2016-1. Amsterdam: Meertens Institute, 2016. (download pdf ).
  • P. van Kranenburg, Martine de Bruin, Louis P. Grijp, and Frans Wiering. “The Meertens Tune Collections”. Meertens Online Reports, No. 2014-1. Amsterdam: Meertens Institute, 2014. (download pdf).

Conference Papers

  • P. van Kranenburg, and G. Maessen. “Comparing Offertory Melodies of Five Medieval Christian Chant Traditions”. Proceedings of the 18th International Society for Music Information Retrieval Conference, Suzhou, 2017. pp. 204-210. (download pdf)
  • G. Maessen, and P. van Kranenburg. “A Semi-Automatic Method to Produce Singable Melodies for the Lost Chant of the Mozarabic Rite”. Proceedings of the 7th International Workshop on Folk Music Analysis. 2017. pp. 60-65. (download pdf).
  • P. van Kranenburg, and D. Conklin. “A Pattern Mining Approach to Study a Collection of Dutch Folk-Songs”. Proceedings of the Sixth International Workshop on Folk Music Analysis. Dublin. 2016. pp. 71-73. (download pdf).
  • P. van Kranenburg, and F. Karsdorp. “Cadence Detection in Western Traditional Stanzaic Songs using Melodic and Textual Features”. Proceedings of the 15th International Society for Music Information Retrieval Conference, Taipei, 2014. pp. 391-396. (download pdf).
  • P. van Kranenburg, and B. Janssen. “What to do with a Digitized Collection of Western Folk Song Melodies?”. Proceedings of the Fourth International Workshop on Folk Music Analysis. Istanbul. 2014. pp. 117-119. (download pdf).
  • Biró, D.P., and P. van Kranenburg. “A Computational Re-Examination of Béla Bartók’s Transcription Methods as Exemplified by his Sirató Transcriptions of 1937/1938 and their Relevance for Contemporary Methods of Computational Transcription of Qur’an Recitation”. Proceedings of the Fourth International Workshop on Folk Music Analysis. Istanbul. 2014. pp. 70-77. (download pdf).
  • B. Janssen, W.B. de Haas, A. Volk, and P. van Kranenburg. “Discovering repeated patterns in music: potentials, challenges, open questions”. Proceedings of the 10th International Symposium on Computer Music Multidisciplinary Research. Marseille. 2013, pp. 225-240. (download pdf)
  • P. van Kranenburg. “On Computational Modeling in Ethnomusicological Research: Beyond the Tool”. Proceedings of Third International Workshop on Folk Music Analysis. Amsterdam & Utrecht. 2013. pp. 109-110. (download pdf).
  • P. van Kranenburg, A. Volk, and F. Wiering. “On Identifying Folk Song Melodies Employing Recurring Motifs”. Proceedings of the 12th International Conference on Music Perception and Cognition and the 8th Triennial Conference of the European Society for the Cognitive Sciences of Music. Thessaloniki. 2012. pp. 1057-1062. (download pdf).
  • D.P. Biró, P. van Kranenburg, S.R. Ness, G. Tzanetakis, and A. Volk. “Stability and Variation in Cadence Formulas in Oral and Semi-Oral Chant Traditions – a Computational Approach”. Proceedings of the 12th International Conference on Music Perception and Cognition and the 8th Triennial Conference of the European Society for the Cognitive Sciences of Music. Thessaloniki. 2012. pp. 98-105. (download pdf).
  • D. P. Biró, P. van Kranenburg, S.R. Ness, G. Tzanetakis, and A. Volk.  “On Computational Transcription and Analysis of Cadences in Oral and Semi-Oral Chant Traditions”. Second International Conference on Analytic Approaches to World Music. Vancouver, Canada. 2012.
  • A. Volk, W. Bas de Haas, and P. van Kranenburg. “Towards Modelling Variation in Music as Foundation for Similarity”. Proceedings of the 12th International Conference on Music Perception and Cognition and the 8th Triennial Conference of the European Society for the Cognitive Sciences of Music. Thessaloniki. 2012. pp. 1085-1094. (download pdf).
  • Karsdorp, F., P. van Kranenburg, T. Meder, D. Trieschnigg, and A. van den Bosch. “In Search of an Appropriate Abstraction Level for Motif Annotations”. Proceedings of the LREC workshop Computational Models of Narrative, Istanbul, 2012.
  • P. van Kranenburg, F. Wiering, and A. Volk. “On Operationalizing the Musicological Concept of Tune Family for Computational Modeling”. Supporting Digital Humanities: Answering the unaskable, Copenhagen, 2011. (download pdf).
  • A. Volk, F. Wiering, and A. Volk. “Unfolding the Potential of Computational Musicology”. Proceedings of the 13th International Conference on Informatics and Semiotics in Organizations (ICISO). Leeuwarden, 2011. pp. 137-144. (download pdf).
  • P. van Kranenburg, D.P. Biró, S.R. Ness, and G. Tzanetakis. “A Computational Investigation of Melodic Contour Stability in Jewish Torah Trope Performance Traditions”. Proceedings of the 12th International Society for Music Information Retrieval Conference, Miami, 2011. pp. 163-168. (download pdf)
  • P. van Kranenburg and G. Tzanetakis, “A Computational Approach to the Modeling and Employment of Cognitive Units of Folk Song Melodies using Audio Recordings”. Proceedings of the 11th International Conference on Music Perception and Cognition, Seattle, 2010. (download pdf).
  • P. van Kranenburg, A. Volk, F. Wiering, R.C. Veltkamp. “Musical Models for Folk-Song Melody Alignment”. Proceedings of the 10th International Conference on Music Information Retrieval. Kobe, 2009. pp. 507-512. (download pdf).
  • A. Volk, P. van Kranenburg, J. Garbers, F. Wiering, R.C. Veltkamp, L.P. Grijp. “A Manual Annotation Method for Melodic Similarity and the Study of Melody Feature Sets”. Proceedings of the 9th International Conference on Music Information Retrieval. Philadelphia, 2008. pp. 101-106. (download pdf).
  • P. van Kranenburg, J. Garbers, A. Volk, F. Wiering, L.P. Grijp, R.C. Veltkamp. “Towards Integration of MIR and Folk Song Research”. Proceedings of the 8th International Conference on Music Information Retrieval. Austrian Computer Society. Vienna, 2007. pp. 505-508. (download pdf).
  • P. van Kranenburg. “Composer attribution by quantifying compositional strategies”. Proceedings of the Seventh International Conference on Music Information Retrieval. Victoria, Canada, 2006. (download pdf).
  • P. van Kranenburg and E. Backer. “Musical style recognition – a quantitative approach”. Proceedings of the Conference on Interdisciplinary Musicology (CIM04). Graz, Austria, 15–18 April, 2004. (download pdf).

Talks

  • Ondergronds. Luid zingend op een ijsschots de zomer tegemoet. Amsterdam, 1 April 2015. (http://nederl.blogspot.nl/2015/04/ondergronds.html)
  • What to do with a Digitized Collection of Western Folk Song Melodies?. Fourth International Workshop on Folk Music Analysis. Istanbul. 13 June 2014. (download pdf)
  • Mining Rules for Cadences in Dutch Folk-Song Melodies. 3rd International Conference Music and Technologies. Kaunas. 15 November 2013. (download slides).
  • On Computational Modeling in Ethnomusicological Research: Beyond the Tool. Third International Workshop on Folk Music Analysis. Amsterdam. 6 June 2013.
  • Computational Analysis of Scales and Melodic Contour in World Music Repertoire. Atlas Academy. Amsterdam. 30 August 2012.
  • On Identifying Folk Song Melodies Employing Recurring Motifs. The 12th International Conference on Music Perception and Cognition and the 8th Triennial Conference of the European Society for the Cognitive Sciences of Music. Thessaloniki. 24 July 2012. (download slides).
  • Stability and Variation in Cadence Formulas in Oral and Semi-Oral Chant Traditions – a Computational Approach. The 12th International Conference on Music Perception and Cognition and the 8th Triennial Conference of the European Society for the Cognitive Sciences of Music. Thessaloniki. 25 July 2012. (download slides).
  • Data-rich Approaces to Authorship and Ascription. 19th Congress of the International Musicological Society, Rome, 5 July 2012. (download slides).
  • A computational Approach to the identification of folk tunes. 19th Congress of the International Musicological Society, Rome, 3 July 2012. (download slides).
  • Motif-Based Recognition of Folk Song Melodies – a First Step. Symposium Harmony and Variation in MIR, Utrecht, 29 February 2012. (download slides).
  • On Operationalizing the Musicological Concept of Tune Family for Computational Modeling. SDH2011, Copenhagen, 17 November 2011. (download slides).
  • A Computational Investigation of Melodic Contour Stability in Jewish Torah Trope Performance Traditions. International Society for Music Information Retrieval Conference, Miami, 25 October 2011. (download slides).
  • A pattern recognition approach to the attribution of early seventeenth-century keyboard compositions using repeating melodic patterns in diminutions in solo parts. Musical, Cultural and Religious Networks in Early Modern Europe: in Celebration of Peter Philips’s 450th Anniversary. Aberdeen, 4 March 2011. (download slides).
  • Towards  Integration of MIR and Folk Song Research. International Conference on Music Information Retrieval. Vienna, 27 September 2007. (download slides).
  • Kwantitatieve stijlanalyse van muziek. Symposium “Kwantitatieve benaderingen in het taal- en letterkundige onderzoek en elders in de geesteswetenschappen”. Amsterdam, 28 June 2007. (download slides).
  • Towards a quantitative method for musical style modeling. Symposium “The Art and Science of Pattern Recognition”. Delft, 18 april 2005. (download slides).
  • Musical Style Recognition – A Quantitative Approach. Conference on Interdisciplinary Musicology. Graz, 16 April 2004. (download slides).

Posters

  • Cadence Detection in Western Traditional Stanzaic Songs using Melodic and Textual Features. The 15th International Society for Music Information Retrieval Conference. Taipei. 29 October 2014. (download poster).
  • On Identifying Folk Song Melodies Employing Recurring Motifs. The 12th International Conference on Music Perception and Cognition and the 8th Triennial Conference of the European Society for the Cognitive Sciences of Music. Thessaloniki. 23 and 24 July 2012. (download poster).
  • Stability and Variation in Cadence Formulas in Oral and Semi-Oral Chant Traditions – a Computational Approach. The 12th International Conference on Music Perception and Cognition and the 8th Triennial Conference of the European Society for the Cognitive Sciences of Music. Thessaloniki. 25 and 26 July 2012. (download poster).
  • Towards Modelling Variation in Music as Foundation for Similarity. The 12th International Conference on Music Perception and Cognition and the 8th Triennial Conference of the European Society for the Cognitive Sciences of Music. Thessaloniki. 23 and 24 July 2012.
  • A Computational Approach to the Modeling and Employment of Cognitive Units of Folk Song Melodies using Audio Recordings. International Conference on Music Perception and Cognition. Seattle. 26 August 2010. (download poster).
  • Musical Models for Folk-Song Melody Alignment. International Conference on Music Information Retrieval. Kobe. 28 October 2009. (download poster).
  • A Manual Annotation Method for Melodic Similarity and the Study of Melody Feature Sets. International Conference on Music Information Retrieval. Philadelphia. 15 September 2008. (download poster).
  • Composer attribution by quantifying compositional strategies. International Conference on Music Information Retrieval. Victoria, Canada. 10 Oktober 2006. (download poster).
  • On the authorship of BWV 534. Symposium “The Art and Science of Pattern Recognition”. Delft. 18 April 2005. (download poster).

For more information about musical style recognition, please visit http://www.musical-style-recognition.net.