Publications by André Holzapfel
Refereegranskade
Artiklar
[1]
Clemente, A., Friberg, A. & Holzapfel, A. (2022). Relations between perceived affect and liking for melodies and visual designs. Emotion.
[2]
Holzapfel, A., Benetos, E., Killick, A. & Widdess, R. (2021). Humanities and engineering perspectives on music transcription. Digital Scholarship in the Humanities.
[3]
Agres, K. R., Schaefer, R. S., Volk, A., van Hooren, S., Holzapfel, A., Dalla Bella, S. ... Magee, W. L. (2021). Music, Computing, and Health : A Roadmap for the Current and Future Roles of Music Technology for Health Care and Well-Being. Music & Science, 4.
[4]
Agres, K. R., Schaefer, R., Volk, A., van Hooren, S., Holzapfel, A., Dalla Bella, S. ... Magee, W. L. (2021). Music, Computing, and Health: A roadmap for the current and future roles of music technology for health care and well-being. Music & Science.
[5]
Misgeld, O., Holzapfel, A., Kallioinen, P. & Ahlbäck, S. (2021). The melodic beat: exploring asymmetry in polska performance. Journal of Mathematics and Music - Mathematical and Computational Approaches to Music Theory, Analysis, Composition and Performance, 1-22.
[6]
Valle-Perez, G., Henter, G. E., Beskow, J., Holzapfel, A., Oudeyer, P.-Y. & Alexanderson, S. (2021). Transflower : probabilistic autoregressive dance generation with multimodal attention. ACM Transactions on Graphics, 40(6).
[7]
Holzapfel, A., Sturm, B. & Coeckelbergh, M. (2018). Ethical Dimensions of Music Information Retrieval Technology. Transactions of the International Society for Music Information Retrieval, 1(1), 44-55.
[8]
Polak, R., Jacoby, N., Fischinger, T., Goldberg, D., Holzapfel, A. & London, J. (2018). Rhythmic Prototypes Across Cultures : A Comparative Study of Tapping Synchronization. Music perception, 36(1), 1-23.
[9]
Srinivasamurthy, A., Holzapfel, A., Ganguli, K. K. & Serra, X. (2017). Aspects of Tempo and Rhythmic Elaboration in Hindustani Music: A Corpus Study. Frontiers in Digital Humanities.
[10]
Benetos, E. & Holzapfel, A. (2015). Automatic transcription of Turkish microtonal music. Journal of the Acoustical Society of America, 138(4), 2118-2130.
[11]
Krebs, F., Holzapfel, A., Cemgil, A. T. & Widmer, G. (2015). Inferring metrical structure in music using particle filters. IEEE Transactions on Audio, Speech and Language Processing, 23(5), 817-827.
[12]
Holzapfel, A. (2015). Relation between surface rhythm and rhythmic modes in Turkish makam music. Journal of New Music Research, 44(1), 25-38.
[13]
Bozkurt, B., Ayangil, R. & Holzapfel, A. (2014). Computational analysis of makam music in Turkey : review of state-of-the-art and challenges. Journal of New Music Research, 43(1), 3-23.
[14]
Srinivasamurthy, A., Holzapfel, A. & Serra, X. (2014). In Search of Automatic Rhythm Analysis Methods for Turkish and Indian Art Music. Journal for New Music Research, 43(1), 94-114.
[15]
Şentürk, S., Holzapfel, A. & Serra, X. (2014). Linking Scores and Audio Recordings in Makam Music of Turkey. Journal of New Music Research, 43(1), 34-52.
[16]
Cornelis, O., Six, J., Holzapfel, A. & Leman, M. (2013). Evaluation and Recommendation of Pulse and Tempo Annotation in Ethnic Music. Journal for New Music Research, 42(2), 131-149.
[17]
Holzapfel, A., Davies, M. E. P., Zapata, J. R., Oliveira, J. L. & Gouyon, F. (2012). Selective sampling for beat tracking evaluation. IEEE Transactions on Audio, Speech, and Language Processing, 20(9), 2539-2548.
[18]
Holzapfel, A. & Stylianou, Y. (2011). Scale transform in rhythmic similarity of music. IEEE Transactions on Audio, Speech, and Language Processing, 19(1), 176-185.
[19]
Holzapfel, A., Stylianou, Y., Gedik, A. C. & Bozkurt, B. (2010). Three dimensions of pitched instrument onset detection. IEEE Transactions on Audio, Speech, and Language Processing, 18(6), 1517-1527.
[20]
Holzapfel, A. & Stylianou, Y. (2008). Musical genre classification using Nonnegative Matrix Factorization based features. IEEE Transactions on Audio, Speech, and Language Processing, 16(2), 424-434.
[21]
d’Alessandro, N., Babacan, O., Bozkurt, B., Dubuisson, T., Holzapfel, A., Kessous, L. ... Dutoit, T. (2008). RAMCESS 2.x FRAMEWORK - EXPRESSIVE VOICE ANALYSIS FOR REALTIME AND ACCURATE SYNTHESIS OF SINGING. Journal on Multimodal User Interfaces, 2, 133-144.
Konferensbidrag
[22]
Misgeld, O., Lindetorp, H., Holzapfel, A. (2023). Accessible sonification of movement : A case in Swedish folk dance. In Proceedings of SMC 2023 - Sound and Music Computing Conference..
[23]
Kaila, A.-K., Jääskeläinen, P., Holzapfel, A. (2023). Ethically Aligned Stakeholder Elicitation (EASE) : Case Study in Music-AI. In NIME..
[24]
Holzer, D., Aron, L., Holzapfel, A. (2023). Laser Phase Synthesis. Presented at New Interfaces for Musical Expression conference (NIME).
[25]
Holzapfel, A., Jääskeläinen, P., Kaila, A.-K. (2022). Environmental and Social Sustainability of Creative-Ai. In GenAICHI Generative AI and CHI workshop - ACM CHI 2022..
[26]
Jääskeläinen, P., Holzapfel, A., Åsberg, C. (2022). Exploring More-than-Human Caring in Creative-Ai Interactions. In NordiCHI '22: Nordic Human-Computer Interaction Conference. Association for Computing Machinery (ACM).
[27]
Jääskeläinen, P., Holzapfel, A., Pargman, D. (2022). On the environmental sustainability of Ai art(s). Presented at Workshop on Computing within Limits, June 21-22.
[28]
Jääskeläinen, P., Pargman, D., Holzapfel, A. (2022). Towards Sustainability Assessment of Artificial Intelligence in Artistic Practices. In The 8th International Conference on ICT for Sustainability, June 13-17, Plovdiv Bulgaria..
[29]
Misgeld, O., Gulz, T., Holzapfel, A., Miniotaitė, J. (2021). A case study of deep enculturation and sensorimotor synchronization to real music. Presented at International Society for Music Information Retrieval Conference, ISMIR.
[30]
Holzer, D., Shi, K., Holzapfel, A. (2021). Datatonism : Emulating Historical Instruments As A Pedagogic Exercise. In Proceedings of the 2nd Nordic Sound and Music Computing (NordicSMC) Conference..
[31]
Huang, R., Sturm, B., Holzapfel, A. (2021). De-centering the west : East asian philosophies and the ethics of applying artificial intelligence to music. Presented at International Society for Music Information Retrieval Conference, ISMIR.
[32]
Pauletto, S., Selfridge, R., Holzapfel, A., Frisk, H. (2021). From Foley professional practice to Sonic Interaction Design: initial research conducted within the Radio Sound Studio Project. Presented at Nordic Sound and Music Computing Conference.
[33]
Andersson López, L., Svenns, T., Holzapfel, A. (2021). Sensitiv – Designing a Sonic Co-play Tool for Interactive Dance. In Proceedings International Conference on New Interfaces for Musical Expression 2021. PubPub.
[34]
Holzer, D., Frisk, H., Holzapfel, A. (2021). Sounds of Futures Passed : Media Archaeology and Design Fiction as NIME Methodologies. In Proceedings International Conference on New Interfaces for Musical Expression 2021..
[35]
Holzapfel, A., Hagleitner, M., Stella, P. (2020). Diversity of Traditional Dance Expression in Crete: Data Collection, Research Questions, and Method Development. Presented at Proceedings of the ICTM Study Group on Sound, Movement, and the Sciences Symposium (SoMoS).
[36]
Misgeld, O., Holzapfel, A., Ahlbäck, S. (2020). Exploring beat connections in Swedish Folk music and dance. Presented at Proceedings of the ICTM Study Group on Sound, Movement, and the Sciences Symposium (SoMoS).
[37]
Holzapfel, A., Benetos, E. (2019). Automatic music transcription and ethnomusicology : A user study. In Proceedings of the 20th International Society for Music Information Retrieval Conference, ISMIR 2019. (pp. 678-684).
[38]
Misgeld, O., Holzapfel, A., Ahlbäck, S. (2019). Dancing Dots - Investigating the Link between Dancer and Musician in Swedish Folk Dance. Presented at Sound & Music Computing Conference.
[39]
Gulz, T., Holzapfel, A., Friberg, A. (2019). Developing a Method for Identifying Improvisation Strategies in Jazz Duos. In Proc. of the 14th International Symposium on CMMR. (pp. 482-489). Marseille Cedex.
[40]
Jap, L., Holzapfel, A. (2019). Real-time Mapping of Periodic Dance Movements to Control Tempo in Electronic Dance Music. Presented at 16th Sound & Music Computing Conference, Malaga, Spain, 28-31 May 2019. (pp. 274-280). Proceedings of the Sound and Music Computing Conferences, CERN.
[41]
Hansen, K. F., Bresin, R., Holzapfel, A., Pauletto, S., Gulz, T., Lindetorp, H., Misgeld, O., Mattias, S. (2019). Student involvement in sound and music computing research: Current practices at KTH and KMH. In Combined proceedings of the Nordic Sound and Music Computing Conference 2019 and the Interactive Sonification Workshop 2019. (pp. 36-42). Stockholm.
[42]
Lemaire, Q., Holzapfel, A. (2019). Temporal convolutional networks for speech and music detection in radio broadcast. In . International Society for Music Information Retrieval.
[43]
Holzapfel, A. (2018). A case study of ethnography and computational analysis as complementary tools for analyzing dance tunes. Presented at International Conference on Analytical Approaches to World Music (AAWM)2018.
[44]
Gedik, A. C., Holzapfel, A. (2018). The Meaning of Music in Ethnomusicology and Music Information Retrieval : Obstacles Against Computational Ethnomusicology. Presented at Conference on Interdisciplinary Musicology - CIM18 Poznań, 17-20 October 2018 POLAND.
[45]
Misgeld, O., Holzapfel, A. (2018). Towards the study of embodied meter in Swedish folk dance. Presented at Folk Music Analysis Workshop.
[46]
Polak, R., Jacoby, N., Fischinger, T., Goldberg, D., Holzapfel, A., London, J. (2017). Cross-cultural variation in sensorimotor synchronization with simple rhythms: A comparative tapping study. Presented at 16th Rhythm Production and Perception Workshop.
[47]
Srinivasamurthy, A., Holzapfel, A., Serra, X. (2017). INFORMED AUTOMATIC METER ANALYSIS OF MUSIC RECORDINGS. Presented at 18th International Society for Music Information Retrieval Conference, ISMIR 2017, 23 October 2017 through 27 October 2017, Suzhou, China. (pp. 679-685).
[48]
de Valk, R., Volk, A., Holzapfel, A., Pikrakis, A., Kroher, N., Six, J. (2017). MIRchiving: Challenges and opportunities of connecting MIR research and digital music archives. In DLfM '17 Proceedings of the 4th International Workshop on Digital Libraries for Musicology. ACM Digital Library.
[49]
Dzhambazov, G., Holzapfel, A., Srinivasamurthy, A., Serra, X. (2017). Metrical-accent Aware Vocal Onset Detection in Polyphonic Audio. In Proceedings of the 18th International Society for Music Information Retrieval Conference, ISMIR 2017. International Society for Music Information Retrieval.
[50]
Srinivasamurthy, A., Holzapfel, A., Cemgil, A. T., Serra, X. (2016). A generalized Bayesian model for tracking long metrical cycles in acoustic music signals. In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2016. (pp. 76-80). Institute of Electrical and Electronics Engineers (IEEE).
[51]
Trochidis, K., Guedes, C., Holzapfel, A., Anantapadmanabhan, A., Klaric, A. (2016). Analysis-by-synthesis of rhythm in South Indian Art percussion performances by means of statistical analysis. Presented at International Conference on Analytical Approaches to World Music (AAWM).
[52]
Holzapfel, A., Grill, T. (2016). Bayesian meter tracking on learned signal representations. In Proceedings of ISMIR - International Conference on Music Information Retrieval. (pp. 262-268). ISMIR.
[53]
Holzapfel, A., Benetos, E. (2016). The Sousta corpus : Beat-informed automatic transcription of traditional dance tunes. In Proceedings of ISMIR - International Conference on Music Information Retrieval. (pp. 531-537).
[54]
Holzapfel, A. (2015). A corpus study on rhythmic modes in Turkish makam music and their interaction with meter. In Proceedings of the 15. Congress of the Society for Music Theory..
[55]
Holzapfel, A. (2015). Melodic key phrases in traditional Cretan dance tunes. In Proceedings of the 5th International Workshop on Folk Music Analysis. (pp. 79-82). Institut Jean le Rond d'Alembert.
[56]
Srinivasamurthy, A., Holzapfel, A., Cemgil, A. T., Serra, X. (2015). Particle Filters for Efficient Meter Tracking with Dynamic Bayesian Networks. In Proceedings of ISMIR - International Society for Music Information Retrieval Conference..
[57]
Holzapfel, A., Simsekli, U., Sentürk, S., Cemgil, A. T. (2015). Section-level modeling of musical audio for linking performances to scores in Turkish makam music. In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). (pp. 141-145). IEEE conference proceedings.
[58]
Karaosmanoğlu, M. K., Bozkurt, B., Holzapfel, A., Dicsiaçik, N. D. (2014). A symbolic dataset of Turkish makam music phrases. In Proceedings of the 4th International Workshop on Folk Music Analysis. (pp. 10-14).
[59]
Fossum, D., Holzapfel, A. (2014). Exploring the Music of Two Masters of the Turkmen Dutar Through Timing Analysis. In Proceedings of the 4th Workshop on Folk Music Analysis. (pp. 52-56). Bogaziçi University.
[60]
Benetos, E., Holzapfel, A. (2014). Incorporating pitch class profiles for improving automatic transcription of Turkish makam music. In Proceedings of the 4th Workshop on Folk Music Analysis. (pp. 15-20). Computer Engineering Department, Bogaziçi University.
[61]
Holzapfel, A. (2014). Leaping dances in Crete : Tradition in motion. Presented at The Third (2014) International Conference on Analytical Approaches to World Music.
[62]
Holzapfel, A., Krebs, F., Srinivasamurthy, A. (2014). Tracking the “odd” : Meter inference in a culturally diverse music corpus. In Proceedings of ISMIR - International Conference on Music Information Retrieval. (pp. 425-430). ISMIR.
[63]
Benetos, E., Holzapfel, A. (2013). Automatic Transcription of Turkish Makam Music. In Proceedings of ISMIR - International Conference on Music Information Retrieval. (pp. 355-360). International Society for Music Information Retrieval.
[64]
Miron, M., Gouyon, F., Davies, M. E.P., Holzapfel, A. (2013). Beat Station : A real-time rhythm annotation software. In Proceedings of Sound and Music Computing Conference (SMC) 2013. (pp. 729-734). Sound and Music Computing.
[65]
Panagiotakis, C., Holzapfel, A., Michel, D., Argyros, A. (2013). Beat synchronous dance animation based on visual analysis of human motion and audio analysis of music tempo. In Advances in Visual Computing: 9th International Symposium, ISVC 2013, Rethymnon, Crete, Greece, July 29-31, 2013. Proceedings, Part II. (pp. 118-127). Springer Berlin/Heidelberg.
[66]
Holzapfel, A. (2013). TEMPO AND PROSODY IN TURKISH TAKSIM IMPROVISATION. In Proceedings of the 3rd Workshop on Folk Music Analysis. (pp. 1-6). Meertens Institute; Department of Information and Computing Sciences, Utrecht University.
[67]
Zapata, J. R., Davies, M. E. P., Holzapfel, A., Oliveira, J. L., Gouyon, F. (2012). Assigning a confidence threshold on automatic beat annotation in large datasets. In Proceedings of ISMIR - International Conference on Music Information Retrieval. (pp. 157-162).
[68]
Sioros, G., Holzapfel, A., Guedes, C. (2012). On measuring syncopation to drive an interactive music system. In Proceedings of the 13th International Society for Music Information Retrieval Conference (ISMIR 2012). (pp. 283-288).
[69]
Holzapfel, A., Davies, M., Zapata, J. R., Oliveira, J. L., Gouyon, F. (2012). On the automatic identification of difficult examples for beat tracking : towards building new evaluation datasets. In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). (pp. 89-92). IEEE conference proceedings.
[70]
Holzapfel, A., Velasco, G. A., Holighaus, N., Dörfler, M., Flexer, A. (2011). Advantages of nonstationary Gabor transforms in beat tracking. In MIRUM ’11 Proceedings of the 1st international ACM workshop on Music information retrieval with user-centered and multimodal strategies. (pp. 45-50). ACM Press.
[71]
Holzapfel, A., Flexer, A., Widmer, G. (2011). Improving tempo-sensitive and tempo-robust descriptors for rhythmic similarity. In Proceedings of the Conference on Sound and Music Computing (SMC). Sound and music Computing network.
[72]
Holzapfel, A., Stylianou, Y. (2010). Parataxis : Morphological similarity in traditional music. In Proceedings of ISMIR - International Conference on Music Information Retrieval. (pp. 453-458). ISMIR.
[73]
Holzapfel, A., Stylianou, Y. (2009). A scale transform based method for rhythmic similarity of music. In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). (pp. 317-320). IEEE conference proceedings.
[74]
Benetos, E., Holzapfel, A., Stylianou, Y. (2009). Pitched Instrument Onset Detection Based on Auditory Spectra. In Proceedings of ISMIR - International Conference on Music Information Retrieval. (pp. 105-110).
[75]
Holzapfel, A., Stylianou, Y. (2009). Rhythmic Similarity in Traditional Turkish Music. In Proceedings of ISMIR - International Conference on Music Information Retrieval. (pp. 99-104). ISMIR.
[76]
Holzapfel, A., Stylianou, Y. (2008). Beat tracking using group delay based onset detection. In Proceedings of ISMIR - International Conference on Music Information Retrieval. (pp. 653-658). ISMIR.
[77]
Holzapfel, A., Stylianou, Y. (2008). Rhythmic similarity of music based on dynamic periodicity warping. Presented at Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP).
[78]
Markaki, M., Holzapfel, A., Stylianou, Y. (2008). Singing Voice Detection using Modulation Frequency Features. In Proceedings of ISCA Tutorial and Research Workshop on Statistical and Perceptual Audition (SAPA). (pp. 7-10).
[79]
Holzapfel, A., Stylianou, Y. (2007). A statistical approach to musical genre classification using Non-negative Matrix Factorization. In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). (pp. 693-696). IEEE Press.
[80]
Holzapfel, A., Stylianou, Y. (2007). Singer Identification in Rembetiko Music. In Proceedings of the Conference on Sound and Music Computing (SMC). (pp. 326-329). Sound and music Computing network.
[81]
Dutoit, T., Holzapfel, A., Jottrand, M., Moinet, A., Perez, J., Stylianou, Y. (2007). Towards a voice conversion system based on frame selection. In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). (pp. 513-516). IEEE Press.
Kapitel i böcker
[82]
Holzapfel, A. (2023). Introducing Political Ecology of Creative-Ai. In Simon Lindgren (Ed.), Handbook of Critical Studies of Artificial Intelligence. Cheltenham, United Kingdom: Edward Elgar Publishing.
[83]
Holzapfel, A. (2022). From Dusk till dawn : An analysis of Cretan music festivities. In Lawrence Beaumont Shuster, Somangshu Mukherji and Noé Dinnerstein (Ed.), Trends in World Music Analysis: New Directions in World Music Analysis. Routledge.
[84]
Huang, R. S., Holzapfel, A. & Sturm, B. (2022). Global Ethics : From Philosophy to Practice A Culturally Informed Ethics of Music AI in Asia. In Martin Clancy (Ed.), Artificial Intelligence and Music Ecosystem (pp. 126-141). Routledge.
[85]
Falkenberg, K., Bresin, R., Holzapfel, A. & Pauletto, S. (2021). Musikkommunikation och ljudinteraktion. In Pernilla Falkenberg Josefsson, Mikael Wiberg (Ed.), Introduktion till medieteknik (pp. 155-166). Lund: Studentlitteratur AB.
Icke refereegranskade
Konferensbidrag
[86]
Bresin, R., Falkenberg, K., Holzapfel, A., Pauletto, S. (2021). KTH Royal Institute of Technology - Sound and Music Computing (SMC) Group. In Proceedings of the Sound and Music Computing Conferences 2021. (pp. xxv-xxvi). Sound and Music Computing Network.
[87]
Holzapfel, A. (2015). Computational Analysis of Melodic Motives in Cretan Leaping Dances : Motivations, Perspectives, and Limitations. Presented at 3rd International Conference on the music tradition of Eastern Crete.
[88]
Holzapfel, A., Bozkurt, B. (2012). Metrical Strength and Contradiction in Turkish Makam Music. In Proceedings of the 2nd CompMusic Workshop. (pp. 79-84).
Kapitel i böcker
[89]
Holzapfel, A. (2017). Die ersten Schritte: Interviews mit kretischen Tanzlehrern. In Michael Hagleitner and Andre Holzapfel (Ed.), Music on Crete: Traditions of a Mediterranean island (pp. 303-330). Vienna: Institut fuer Musikwissenschaft, Universität Wien.
[90]
Holzapfel, A. (2017). Rhythmic and melodic aspects of Cretan Leaping dances. In Michael Hagleitner and Andre Holzapfel (Ed.), Music on Crete: Traditions of a Mediterranean island (pp. 281-302). Vienna: Institut fuer Musikwissenschaft, Universität Wien.
Avhandlingar
[91]
Holzapfel, A. (2018). STRUCTURE AND INTERACTION IN CRETAN LEAPING DANCES : CONNECTING ETHNOGRAPHY AND COMPUTATIONAL ANALYSIS (Doctoral thesis , Istanbul Technical University, Istanbul, Turkey). Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-240632.
Samlingsverk (redaktörskap)
[92]
Hagleitner, M., Holzapfel, A. (Eds.). (2017). Music on Crete : Traditions of a Mediterranean Island. Vienna: Institut fuer Musikwissenschaft, Universität Wien.
Senaste synkning med DiVA:
2023-09-10 01:13:22