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Agres, K., Schaefer, R.S., Volk, A., Van Hooren, S.,
Holzapfel, A., Dalla Bella, S., Mueller, M., De Witte,
M., Herremans, D., Ramirez Mendelez, R., Neerincx, M.,
Ruiz, S., Meredith, D., Dimitriades, T. & Magee,
W.L. (2021). Music, Computing, and Health: A Roadmap
for the Current and Future Roles of Music Technology
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Odekerken, D., Koops, H.V. & Volk, A. (2021). Improving Audio Chord Estimation by Alignment and Integration of Crowd-Sourced Symbolic Music, Transactions of the International Society for Music Information Retrieval 4 (1). Weiss, C., Zalkow, F., Arifi-Mueller,V., Mueller, M., Koops, H.V., Volk, A., Grohganz, H.G. (2021). Schubert Winterreise dataset: A multimodal scenario for music analysis, Journal on Computing and Cultural Heritage (JOCCH). 14(2), 1-18. Tomasević, D., Wells, S., Ren, I.Y.,V olk, A., Pesek, M. (2021). Exploring annotations for musical pattern discovery gathered with digital annotation tools Journal of Mathematics and Music 15 (2), 194-207. Selway, A., Koops, H.V., Volk, A., Bretherton, D., Gibbins, N., & Richard Polfreman, R. (2020). Explaining harmonic inter-annotator disagreement using Hugo Riemann's theory of 'harmonic function', Journal of New Music Research, DOI: 10.1080/09298215.2020.1716811. Koops, H.V., De Haas, W. B., Burgoyne, J.A., Branson, J., Kent-Muller, A. & Volk, A. (2019), Annotator subjectivity in harmony annotations of popular music, Journal of New Music Research, 48 (3), pp. 232-252. Van Kranenburg, P., De Bruin, M., & Volk, A. (2019). Documenting a song culture: The Dutch Song Database as a Resource for Musicological Research. International Journal on Digital Libraries, 20 (1), p. 13-23. Koops, H.V., De Haas, W. B., Bransen, J. & Volk, A. (2018). Automatic chord label personalization through deep learning of shared harmonic interval profiles. Neural Computing and Applications, pp. 1-11. Dixon, S., Gomez, E. and Volk, A., 2018. Editorial: Introducing the Transactions of the International Society for Music Information Retrieval. Transactions of the International Society for Music Information Retrieval, 1(1), pp.1-3. Janssen, B., van Kranenburg, P., & Volk, A. (2017). Finding occurrences of melodic segments in folk songs employing symbolic similarity measures, Journal of New Music Research, 46(2), 118-134. Boot, P., Volk, A., & de Haas, W.B. (2016). Evaluating the Role of Repeated Patterns in Folk Song Classification and Compression, Journal of New Music Research. Van Kranenburg, P., Volk, A., & Wiering, F. (2013). A Comparison between Global and Local Features for Computational Classification of Folk Song Melodies, Journal of New Music Research, Vol. 42 (1), 1-18. Volk, A. & van Kranenburg, P. (2012), Melodic similarity among folk songs: An annotation study on similarity-based categorization in music, Musicae Scientiae, 16(3), 317-339. Volk, A. & Honingh, A., (2012). Mathematical and computational approaches to music: challenges in an interdisciplinary enterprise. Journal of Mathematics and Music, Vol. 6, No. 2, pp. 73-81. Van Kranenburg, P., Garbers, J., Volk, A., Wiering, F., Grijp, L.P., & Veltkamp, R.C. (2010). Collaboration Perspectives for Folk Song Research and Music Information Retrieval: The indispensable Role of Computational Musicology. Journal of Interdisciplinary Music Studies, Vol. 4, 17-43. Wiering, F., Grijp, L.P., Veltkamp, R.C., Garbers, J., Volk, A., & van Kranenburg, P. (2009). Modelling folksong melodies, Interdisciplinary Science Reviews, 34(2), 154-171. Honingh, A. & Volk, A. (2009). Mathematische muziektheorie: Nieuwe mogelijkheden voor muziekgerelateerd onderzoek, Dutch Journal of Music Theory, 14(3), 181-193. Wiering, F., de Nooijer, J., Volk, A., & Tabachneck-Schijf, H.J.M. (2009). Cognition-based Segmentation for Music Information Retrieval Systems. Journal of New Music Research 38(2), 139 -154. Volk, A. (2008). The Study of Syncopation using Inner Metric Analysis: Linking Theoretical and Experimental Analysis of Metre in Music, Journal of New Music Research, 37(4), 259-273. Volk, A. (2008). Persistence and Change: Local and Global Components of Metre Induction using Inner Metric Analysis, Journal of Mathematics and Computation in Music, 2(2), 99-115. Volk, A. & Chew, E. (2008). Reconsidering the Affinity between Metric and Tonal Structures in Brahms Capriccio Op. 76, No. 8, Computing in Musicology, 15, 138-171. Fleischer (Volk), A. & Noll, T. (2002), Analytical Coherence and Performance Regulation, Journal of New Music Research, 31, 239-247. Fleischer (Volk), A., Mazzola, G., & Noll, T. (2000), Computergestuetzte Musiktheorie, Musiktheorie, 15(4), 314-325.
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Volk, A., Chalkiadakis,
E., Bakkes, S., Hakvoort, L. &
Schaefer, R.S. (2023), Developing and Evaluating a
Musical Attention Control Training Game
Application, Proceedings
of the Sound
and Music Computing Conference 2023 in
Stockholm, June 15-17.
Bogaers, A., Yumak, Z., Volk, A. (2020). Music-Driven Animation Generation of Expressive Musical Gestures. ICMI '20 Companion: Companion Publication of the 2020 International Conference on Multimodal Interaction, October 2020 Pages 22-26, https://doi.org/10.1145/3395035.3425244. Laugs, C., Koops, H.V., Odijk, D., Kaya, H., Volk, A. (2020). The Influence of Blind Source Separation on Mixed Audio Speech and Music Emotion Recognition, ICMI '20 Companion: Companion Publication of the 2020 International Conference on Multimodal Interaction, October 2020, Pages 67-71, https://doi.org/10.1145/3395035.3425252 Proutskova, P., Volk, A., Heidarian, P. & Fazekas, G. (2020). From Music Ontology Towards Ethno-Music-Onthology. Proceedings of 21st International Society for Music Information Retrieval Conference, pp. 923-931. Melkonian, O., Ren, Y., Swierstra, W.S. & Volk, A. (2019). What Constitutes a Musical Pattern? An Empirical Investigation using Haskell. FARM 2019 - Proceedings of the 7th ACM SIGPLAN International Workshop on Functional Art, Music, Modeling, and Design, pp. 95-105. Ren, I., Volk, A., Swierstra, W., & Veltkamp, R.C. (2018). Analysis by classification: A comparative study of annotated and algorithmically extracted patterns in symbolic music data, to appear in Proceedings of the 19th International Society for Music Information Retrieval Conference, Paris, France. Ren, I., Nieto, O., Koops, H.V., Volk, A. & Swierstra, W. (2018). Investigating Musical Pattern Ambiguity in a Human Annotated Dataset, Proceedings of the 15th International Conference on Music Perception and Cognition, Graz, Austria. Ren, I., Koops, H.V., Bountouridis, D., Volk, A., Swierstra, W., & Veltkamp, R.C., Feature analysis of repeated patterns in Dutch folk songs using Principal Component Analysis, to appear in Proceedings of the 8th International Workshop on Folk Music Analysis, Thessaloniki, Greece. Ren, I., Koops, H.V., Volk, A., & Swierstra, W. (2017). In search of the consensus among musical pattern discovery algorithms, Proceedings of the 18th International Society for Music Information Retrieval Conference, 671-677, Suzhou, China. Koops, H. V., Garg, K., Kim, M., Li, J., Volk, A. & Franchetti F. (2017). Multirotor UAV state prediction through multi-microphone side-channel fusion. IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI 2017, Daegu, Korea (South), November 16-18, 2017 (pp. 15-21). De Valk, R., Volk, A., Holzapfel, A., Pikrakis, A., Kroher, N. & Six, J., MIRchiving: Challenges and opportunities of connecting MIR research and digital music archive, accepted for publication in Proceedings of the 4th International workshop on Digital Libraries for Musicology, ACM Digital Library, Shanghai, China. Koops, H.V., de Haas, W.B., Bransen, J. & Volk, A. (2017). Chord Label Personalization through Deep Learning of Integrated Harmonic Interval-based Representations, Proceedings of the 1st International Workshop Deep Learning for Music, Anchorage, 19-25. Odekerken, D., Volk, A., & Koops, H.V. (2017), Rhythmic Patterns in Ragtime and Jazz, Proceedings of the 7th International Workshop on Folk Music Analysis, 44-49, Malaga, Spain. De Haas, W.B. & Volk, A. (2016). Meter Detection in Symbolic Music Using Inner Metric Analysis, Proceedings of the 17th Conference of the International Society for Music Information Retrieval (ISMIR), New York, USA, August 7-11. Koops, H. V., de Haas, W.B.,
Bountouridis, D., & Volk, A. (2016). Integration
and Quality Assessment of Heterogeneous Chord
Sequences using Data Fusion. Proceedings of
the 17th Conference of the International Society
for Music Information Retrieval (ISMIR), New York,
USA, August 7-11.
Janssen, B., van Kranenburg, P. & Volk, A. (2015). A comparison of symbolic similarity measures for finding occurrences of melodic segments. In: Proceedings of the 16th ISMIR Conference, Malaga, Spain, October 26-30, (pp. 659-665). Malaga, Spain: ISMIR press. Koops, H. V., Volk, A. & de Haas, W.B. (2015). Corpus-Based Rhythmic Pattern Analysis of Ragtime Syncopation. In Proceedings of the 16th International Society for Music Information Retrieval Conference, ISMIR(pp. 483-489) (7 p.). Malaga, Spain: ISMIR press. Rodriguez Lopez, M.E. & Volk, A. (2015). Location Constraints for Repetition-Based Segmentation of Melodies. Proceedings of the 5th International Conference in Mathematics and Computation in Music (MCM) (pp. 73-84) (12 p.). Springer. Rodriguez Lopez, M.E., Bountouridis, D. & Volk, A. (2015). Novel Music Segmentation Interface and the Jazz Tune Collection. Proceedings of the 5th International Workshop on Folk Music Analysis (pp. 99-105) (7 p.). Paris: CNRS. Rodriguez Lopez, M.E. & Volk, A. (2015). On the Evaluation of Automatic Segment Boundary Detection. Music, Mind, Embodiment - Proceedings of the 11th International Symposium on Computer Music Multidisciplinary Research (CMMR) (pp. 234-246) (14 p.). Plymouth: LMA publications. Rodriguez Lopez, M.E. & Volk, A. (2015). Selective Acquisition Techniques for Enculturation-Based Melodic Phrase Segmentation. Proceedings of the 16th Conference of the International Society for Music Information Retrieval (ISMIR) (pp. 218-224) (7 p.). Malaga: ISMIR press. Rodriguez Lopez, M.E., de Haas, Bas & Volk, A. (2014). Comparing repetition-based melody segmentation models. Proceedings of the 9th Conference on Interdisciplinary Musicology (CIM14) (pp. 143-148) (6 p.). Berlin: SIMPK and ICCMR. Rodriguez Lopez, M.E., Volk, A. & Bountouridis, D. (2014). Multi-strategy Segmentation of Melodies. 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On Identifying Folk Song Melodies Employing Recurring Motifs, Proceedings of the 12th International Conference on Music Perception and Cognition, Thessaloniki, Greece. Biro, D., Van Kranenburg, P., Ness, S. G., Tzanetakis, G., & Volk, A. (2012). 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, Thessaloniki, Greece, 2012. Volk, A., Wiering, F. & Van Kranenburg, P. (2011). Unfolding the Potential of Computational Musicology. Proceedings of the13th International Conference on Informatics and Semiotics in Organisations (ICISO), Leeuwarden, the Netherlands, 137-144, 2011. Van Kranenburg, P., Wiering, F., & Volk, A. (2011). On Deconstructing the musicological concept of tune family for computational modeling. Proceedings of the Supporting Digital Humanities conference, Kopenhagen. Van Kranenburg, P., Volk, A., Wiering, F., Veltkamp, R.C. (2009). 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Applying Rhythmic Similarity based on Inner Metric Analysis to Folksong Research, Proceedings of the Eighth International Conference on Music Information Retrieval (ISMIR), Vienna, Austria, 293-296. Van Kranenburg, P., Garbers, J., Volk, A., Wiering, F., Grijp, L.P. & Veltkamp, R.C. (2007). Towards Integration of MIR and Folk Song Research, Proceedings of the Eighth International Conference on Music Information Retrieval (ISMIR), Vienna, Austria, 505-508, 2007. Garbers, J., Van Kranenburg, P., Volk, A., Wiering, F., Veltkamp, R.C. & Grijp, L.P. (2007). Using pitch stability among a group of aligned query melodies to retrieve unidentified variant melodies, Proceedings of the Eighth International Conference on Music Information Retrieval (ISMIR), Vienna, Austria, 451-456, 2007. Volk, A. (2005). Modeling a Processive Perspective on Meter in Music, Proceedings of the International Computer Music Conference, Barcelona, Spain, 251-254. Chew, E., Volk (Fleischer), A., Lee C.Y. (2005). Dance Music Classification Using Inner Metric Analysis: a computational approach and case study using 101 Latin American Dances and National Anthems. In Bruce Golden, S. Raghavan, Edward Wasil (eds.): The Next Wave in Computing, Optimization and Decision Technologies. Springer OR/CS Interfaces Series No.29, 355-370. Yang, A.C., Chew, E., & Volk, A. (2005). A Dynamic Programming Approach to Adaptive Tatum Assignment for Rhythm Transcription, First IEEE International Workshop on Multimedia Information Processing and Retrieval, Irvine, CA, USA, 577-584. Volk, A. (2004). Metric Investigations in Brahms' Symphonies, in: G. Mazzola, T. Noll, and E. Lluis-Puebla, (eds): Perspectives in Mathematical and Computational Music Theory, epOs Music, Osnabruesck, 300-329. Chew, E., Sawchuk, A.A., Zimmermann, R., the Tosheff Piano Duo (Vely Stoyanova and Ilia Tosheff), Kyriakakis, C., Papadopoulos, C., Francois, A.R.J. & Volk, A. (2004), Distributed Immersive Performance, Proceedings of the 2004 Annual National Association of the Schools of Music (NASM) Meeting, San Diego, CA, November 22, 2004. Volk, A. (2004). Exploring the Interaction of Pulse Layers Regarding their Influence on Metrical Accents (2004), Proceedings of the 8th International Conference on Music Perception and Cognition, Evanston, IL, 435-438. Chew, E., R. Zimmermann, R., Sawchuk, A.A., Kyriakakis, C., Papadopoulos, C., Francois, A.R.J, Kim, G., Rizzo, A., & Volk, A. (2004). Musical Interaction at a Distance: Distributed Immersive Performance, Proceedings of the 4th Open Workshop of MUSICNETWORK: Integration of Music in Multimedia Applications, Barcelona, Spain. Volk, A. (2003).The Empirical Evaluation of a Mathematical Model for Inner Metric Analysis, Proceedings of the 5th Triennal ESCOM Conference, Hanover, 467-470. Fleischer, A. (2002). Model of Metric Coherence, Proceedings of the 2nd International Conference Understanding and Creating Music, Italy, Caserta, 2002.
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