Publikationer av André Holzapfel
Refereegranskade
Artiklar
[1]
Huang, R., Holzapfel, A., Sturm, B. & Kaila, A.-K. (2023). Beyond Diverse Datasets : Responsible MIR, Interdisciplinarity, and the Fractured Worlds of Music. Transactions of the International Society for Music Information Retrieval, 6(1), 43-59.
[2]
Clemente, A., Friberg, A. & Holzapfel, A. (2023). Relations between perceived affect and liking for melodies and visual designs. Emotion, 23(6), 1584-1605.
[3]
Holzapfel, A., Benetos, E., Killick, A. & Widdess, R. (2021). Humanities and engineering perspectives on music transcription. Digital Scholarship in the Humanities.
[4]
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.
[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. I Proceedings of SMC 2023 - Sound and Music Computing Conference. (s. 201-208). Sound and Music Computing Network.
[23]
Pauletto, S., Selfridge, R., Hölling, J., Holzapfel, A., Frisk, H. (2023). Connecting sound design future with historical creative practices : developing digital tools by modelling historical sound effects. Presenterad vid Forum Acusticum 2023, 11 - 15 September 2023, Torino, Italy.
[24]
Kaila, A.-K., Jääskeläinen, P., Holzapfel, A. (2023). Ethically Aligned Stakeholder Elicitation (EASE) : Case Study in Music-AI. I NIME..
[25]
Holzer, D., Aron, L., Holzapfel, A. (2023). Laser Phase Synthesis. Presenterad vid New Interfaces for Musical Expression conference (NIME).
[26]
Jääskeläinen, P., Holzapfel, A., Åsberg, C. (2022). Exploring More-than-Human Caring in Creative-Ai Interactions. I 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). Presenterad vid Workshop on Computing within Limits, June 21-22.
[28]
Misgeld, O., Gulz, T., Holzapfel, A., Miniotaitė, J. (2021). A case study of deep enculturation and sensorimotor synchronization to real music. I Proceedings of the 22nd International Conference on Music Information Retrieval, ISMIR 2021, International Society for Music Information Retrieval. (s. 460-467).
[29]
Holzer, D., Shi, K., Holzapfel, A. (2021). Datatonism : Emulating Historical Instruments As A Pedagogic Exercise. I Proceedings of the 2nd Nordic Sound and Music Computing (NordicSMC) Conference..
[30]
Huang, R., Sturm, B., Holzapfel, A. (2021). De-centering the west : East asian philosophies and the ethics of applying artificial intelligence to music. Presenterad vid International Society for Music Information Retrieval Conference, ISMIR.
[31]
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. Presenterad vid Nordic Sound and Music Computing Conference.
[32]
Andersson López, L., Svenns, T., Holzapfel, A. (2021). Sensitiv – Designing a Sonic Co-play Tool for Interactive Dance. I Proceedings International Conference on New Interfaces for Musical Expression 2021. PubPub.
[33]
Holzer, D., Frisk, H., Holzapfel, A. (2021). Sounds of Futures Passed : Media Archaeology and Design Fiction as NIME Methodologies. I Proceedings International Conference on New Interfaces for Musical Expression 2021..
[34]
Holzapfel, A., Hagleitner, M., Stella, P. (2020). Diversity of Traditional Dance Expression in Crete: Data Collection, Research Questions, and Method Development. Presenterad vid Proceedings of the ICTM Study Group on Sound, Movement, and the Sciences Symposium (SoMoS).
[35]
Misgeld, O., Holzapfel, A., Ahlbäck, S. (2020). Exploring beat connections in Swedish Folk music and dance. Presenterad vid Proceedings of the ICTM Study Group on Sound, Movement, and the Sciences Symposium (SoMoS).
[36]
Holzapfel, A., Benetos, E. (2019). Automatic music transcription and ethnomusicology : A user study. I Proceedings of the 20th International Society for Music Information Retrieval Conference, ISMIR 2019. (s. 678-684).
[37]
Misgeld, O., Holzapfel, A., Ahlbäck, S. (2019). Dancing Dots - Investigating the Link between Dancer and Musician in Swedish Folk Dance. Presenterad vid Sound & Music Computing Conference.
[38]
Gulz, T., Holzapfel, A., Friberg, A. (2019). Developing a Method for Identifying Improvisation Strategies in Jazz Duos. I Proc. of the 14th International Symposium on CMMR. (s. 482-489). Marseille Cedex.
[39]
Jap, L., Holzapfel, A. (2019). Real-time Mapping of Periodic Dance Movements to Control Tempo in Electronic Dance Music. Presenterad vid 16th Sound & Music Computing Conference, Malaga, Spain, 28-31 May 2019. (s. 274-280). Proceedings of the Sound and Music Computing Conferences, CERN.
[40]
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. I Combined proceedings of the Nordic Sound and Music Computing Conference 2019 and the Interactive Sonification Workshop 2019. (s. 36-42). Stockholm.
[41]
Lemaire, Q., Holzapfel, A. (2019). Temporal convolutional networks for speech and music detection in radio broadcast. I . International Society for Music Information Retrieval.
[42]
Holzapfel, A. (2018). A case study of ethnography and computational analysis as complementary tools for analyzing dance tunes. Presenterad vid International Conference on Analytical Approaches to World Music (AAWM)2018.
[43]
Gedik, A. C., Holzapfel, A. (2018). The Meaning of Music in Ethnomusicology and Music Information Retrieval : Obstacles Against Computational Ethnomusicology. Presenterad vid Conference on Interdisciplinary Musicology - CIM18 Poznań, 17-20 October 2018 POLAND.
[44]
Misgeld, O., Holzapfel, A. (2018). Towards the study of embodied meter in Swedish folk dance. Presenterad vid Folk Music Analysis Workshop.
[45]
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. Presenterad vid 16th Rhythm Production and Perception Workshop.
[46]
Srinivasamurthy, A., Holzapfel, A., Serra, X. (2017). INFORMED AUTOMATIC METER ANALYSIS OF MUSIC RECORDINGS. Presenterad vid 18th International Society for Music Information Retrieval Conference, ISMIR 2017, 23 October 2017 through 27 October 2017, Suzhou, China. (s. 679-685).
[47]
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. I DLfM '17 Proceedings of the 4th International Workshop on Digital Libraries for Musicology. ACM Digital Library.
[48]
Dzhambazov, G., Holzapfel, A., Srinivasamurthy, A., Serra, X. (2017). Metrical-accent Aware Vocal Onset Detection in Polyphonic Audio. I Proceedings of the 18th International Society for Music Information Retrieval Conference, ISMIR 2017. International Society for Music Information Retrieval.
[49]
Srinivasamurthy, A., Holzapfel, A., Cemgil, A. T., Serra, X. (2016). A generalized Bayesian model for tracking long metrical cycles in acoustic music signals. I Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2016. (s. 76-80). Institute of Electrical and Electronics Engineers (IEEE).
[50]
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. Presenterad vid International Conference on Analytical Approaches to World Music (AAWM).
[51]
Holzapfel, A., Grill, T. (2016). Bayesian meter tracking on learned signal representations. I Proceedings of ISMIR - International Conference on Music Information Retrieval. (s. 262-268). ISMIR.
[52]
Holzapfel, A., Benetos, E. (2016). The Sousta corpus : Beat-informed automatic transcription of traditional dance tunes. I Proceedings of ISMIR - International Conference on Music Information Retrieval. (s. 531-537).
[53]
Holzapfel, A. (2015). A corpus study on rhythmic modes in Turkish makam music and their interaction with meter. I Proceedings of the 15. Congress of the Society for Music Theory..
[54]
Holzapfel, A. (2015). Melodic key phrases in traditional Cretan dance tunes. I Proceedings of the 5th International Workshop on Folk Music Analysis. (s. 79-82). Institut Jean le Rond d'Alembert.
[55]
Srinivasamurthy, A., Holzapfel, A., Cemgil, A. T., Serra, X. (2015). Particle Filters for Efficient Meter Tracking with Dynamic Bayesian Networks. I Proceedings of ISMIR - International Society for Music Information Retrieval Conference..
[56]
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. I Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). (s. 141-145). IEEE conference proceedings.
[57]
Karaosmanoğlu, M. K., Bozkurt, B., Holzapfel, A., Dicsiaçik, N. D. (2014). A symbolic dataset of Turkish makam music phrases. I Proceedings of the 4th International Workshop on Folk Music Analysis. (s. 10-14).
[58]
Fossum, D., Holzapfel, A. (2014). Exploring the Music of Two Masters of the Turkmen Dutar Through Timing Analysis. I Proceedings of the 4th Workshop on Folk Music Analysis. (s. 52-56). Bogaziçi University.
[59]
Benetos, E., Holzapfel, A. (2014). Incorporating pitch class profiles for improving automatic transcription of Turkish makam music. I Proceedings of the 4th Workshop on Folk Music Analysis. (s. 15-20). Computer Engineering Department, Bogaziçi University.
[60]
Holzapfel, A. (2014). Leaping dances in Crete : Tradition in motion. Presenterad vid The Third (2014) International Conference on Analytical Approaches to World Music.
[61]
Holzapfel, A., Krebs, F., Srinivasamurthy, A. (2014). Tracking the “odd” : Meter inference in a culturally diverse music corpus. I Proceedings of ISMIR - International Conference on Music Information Retrieval. (s. 425-430). ISMIR.
[62]
Benetos, E., Holzapfel, A. (2013). Automatic Transcription of Turkish Makam Music. I Proceedings of ISMIR - International Conference on Music Information Retrieval. (s. 355-360). International Society for Music Information Retrieval.
[63]
Miron, M., Gouyon, F., Davies, M. E.P., Holzapfel, A. (2013). Beat Station : A real-time rhythm annotation software. I Proceedings of Sound and Music Computing Conference (SMC) 2013. (s. 729-734). Sound and Music Computing.
[64]
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. I Advances in Visual Computing: 9th International Symposium, ISVC 2013, Rethymnon, Crete, Greece, July 29-31, 2013. Proceedings, Part II. (s. 118-127). Springer Berlin/Heidelberg.
[65]
Holzapfel, A. (2013). TEMPO AND PROSODY IN TURKISH TAKSIM IMPROVISATION. I Proceedings of the 3rd Workshop on Folk Music Analysis. (s. 1-6). Meertens Institute; Department of Information and Computing Sciences, Utrecht University.
[66]
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. I Proceedings of ISMIR - International Conference on Music Information Retrieval. (s. 157-162).
[67]
Sioros, G., Holzapfel, A., Guedes, C. (2012). On measuring syncopation to drive an interactive music system. I Proceedings of the 13th International Society for Music Information Retrieval Conference (ISMIR 2012). (s. 283-288).
[68]
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. I Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). (s. 89-92). IEEE conference proceedings.
[69]
Holzapfel, A., Velasco, G. A., Holighaus, N., Dörfler, M., Flexer, A. (2011). Advantages of nonstationary Gabor transforms in beat tracking. I MIRUM ’11 Proceedings of the 1st international ACM workshop on Music information retrieval with user-centered and multimodal strategies. (s. 45-50). ACM Press.
[70]
Holzapfel, A., Flexer, A., Widmer, G. (2011). Improving tempo-sensitive and tempo-robust descriptors for rhythmic similarity. I Proceedings of the Conference on Sound and Music Computing (SMC). Sound and music Computing network.
[71]
Holzapfel, A., Stylianou, Y. (2010). Parataxis : Morphological similarity in traditional music. I Proceedings of ISMIR - International Conference on Music Information Retrieval. (s. 453-458). ISMIR.
[72]
Holzapfel, A., Stylianou, Y. (2009). A scale transform based method for rhythmic similarity of music. I Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). (s. 317-320). IEEE conference proceedings.
[73]
Benetos, E., Holzapfel, A., Stylianou, Y. (2009). Pitched Instrument Onset Detection Based on Auditory Spectra. I Proceedings of ISMIR - International Conference on Music Information Retrieval. (s. 105-110).
[74]
Holzapfel, A., Stylianou, Y. (2009). Rhythmic Similarity in Traditional Turkish Music. I Proceedings of ISMIR - International Conference on Music Information Retrieval. (s. 99-104). ISMIR.
[75]
Holzapfel, A., Stylianou, Y. (2008). Beat tracking using group delay based onset detection. I Proceedings of ISMIR - International Conference on Music Information Retrieval. (s. 653-658). ISMIR.
[76]
Holzapfel, A., Stylianou, Y. (2008). Rhythmic similarity of music based on dynamic periodicity warping. Presenterad vid Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP).
[77]
Markaki, M., Holzapfel, A., Stylianou, Y. (2008). Singing Voice Detection using Modulation Frequency Features. I Proceedings of ISCA Tutorial and Research Workshop on Statistical and Perceptual Audition (SAPA). (s. 7-10).
[78]
Holzapfel, A., Stylianou, Y. (2007). A statistical approach to musical genre classification using Non-negative Matrix Factorization. I Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). (s. 693-696). IEEE Press.
[79]
Holzapfel, A., Stylianou, Y. (2007). Singer Identification in Rembetiko Music. I Proceedings of the Conference on Sound and Music Computing (SMC). (s. 326-329). Sound and music Computing network.
[80]
Dutoit, T., Holzapfel, A., Jottrand, M., Moinet, A., Perez, J., Stylianou, Y. (2007). Towards a voice conversion system based on frame selection. I Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). (s. 513-516). IEEE Press.
Kapitel i böcker
[81]
Holzapfel, A. (2023). Introducing Political Ecology of Creative-Ai. I Simon Lindgren (Red.), Handbook of Critical Studies of Artificial Intelligence. Cheltenham, United Kingdom: Edward Elgar Publishing.
[82]
Holzapfel, A. (2022). From Dusk till dawn : An analysis of Cretan music festivities. I Lawrence Beaumont Shuster, Somangshu Mukherji and Noé Dinnerstein (Red.), Trends in World Music Analysis: New Directions in World Music Analysis. Routledge.
[83]
Huang, R. S., Holzapfel, A. & Sturm, B. (2022). Global Ethics : From Philosophy to Practice A Culturally Informed Ethics of Music AI in Asia. I Martin Clancy (Red.), Artificial Intelligence and Music Ecosystem (s. 126-141). Routledge.
[84]
Falkenberg, K., Bresin, R., Holzapfel, A. & Pauletto, S. (2021). Musikkommunikation och ljudinteraktion. I Pernilla Falkenberg Josefsson, Mikael Wiberg (Red.), Introduktion till medieteknik (s. 155-166). Lund: Studentlitteratur AB.
Icke refereegranskade
Konferensbidrag
[85]
Jääskeläinen, P., Kaila, A.-K., Holzapfel, A. (2024). Uncovering Challenges and Changes in Artists’ Practices as a Consequence of AI. I Workshop Proceedings of GenAICHI - CHI 2024 Workshop on Generative AI and HCI..
[86]
Kaila, A.-K., Petra, J., Holzapfel, A. (2023). Explorations with Ethically Aligned Stakeholder Analysis (EASE). Presenterad vid ACM CHI 2023. Online: Association for Computing Machinery (ACM).
[87]
Holzapfel, A., Jääskeläinen, P., Kaila, A.-K. (2022). Environmental and Social Sustainability of Creative-Ai. Presenterad vid GenAICHI Generative AI and CHI wokshop - ACM CHI 2022.
[88]
Jääskeläinen, P., Pargman, D., Holzapfel, A. (2022). Towards Sustainability Assessment of Artificial Intelligence in Artistic Practices. Presenterad vid ICT4S (International Conference on ICT for Sustainability).
[89]
Bresin, R., Falkenberg, K., Holzapfel, A., Pauletto, S. (2021). KTH Royal Institute of Technology - Sound and Music Computing (SMC) Group. I Proceedings of the Sound and Music Computing Conferences 2021. (s. xxv-xxvi). Sound and Music Computing Network.
[90]
Holzapfel, A. (2015). Computational Analysis of Melodic Motives in Cretan Leaping Dances : Motivations, Perspectives, and Limitations. Presenterad vid 3rd International Conference on the music tradition of Eastern Crete.
[91]
Holzapfel, A., Bozkurt, B. (2012). Metrical Strength and Contradiction in Turkish Makam Music. I Proceedings of the 2nd CompMusic Workshop. (s. 79-84).
Kapitel i böcker
[92]
Holzapfel, A. (2017). Die ersten Schritte: Interviews mit kretischen Tanzlehrern. I Michael Hagleitner and Andre Holzapfel (Red.), Music on Crete: Traditions of a Mediterranean island (s. 303-330). Vienna: Institut fuer Musikwissenschaft, Universität Wien.
[93]
Holzapfel, A. (2017). Rhythmic and melodic aspects of Cretan Leaping dances. I Michael Hagleitner and Andre Holzapfel (Red.), Music on Crete: Traditions of a Mediterranean island (s. 281-302). Vienna: Institut fuer Musikwissenschaft, Universität Wien.
Avhandlingar
[94]
Holzapfel, A. (2018). STRUCTURE AND INTERACTION IN CRETAN LEAPING DANCES : CONNECTING ETHNOGRAPHY AND COMPUTATIONAL ANALYSIS (Doktorsavhandling , Istanbul Technical University, Istanbul, Turkey). Hämtad från http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-240632.
Samlingsverk (redaktörskap)
[95]
Hagleitner, M., Holzapfel, A. (Red.). (2017). Music on Crete : Traditions of a Mediterranean Island. Vienna: Institut fuer Musikwissenschaft, Universität Wien.
Övriga
[96]
Agres, K. R., Schaefer, R., Volk, A., van Hooren, S., Holzapfel, A., Dalla Bella, S., Mueller, M., de Witte, M., Herremans, D., Ramirez Melendez, R., Neerincx, M. A., Ruiz, S., Meredith, D., Dimitriadis, T., 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. (Manuskript).
Senaste synkning med DiVA:
2024-04-24 00:07:02