Search research publications and outputs

  1. Software › Research
  2. Interactive Reverberation Modelling System

    Wells, J., 19 Mar 2019

    Research output: Non-textual formSoftware

  3. Article › Research › Not peer-reviewed
  4. Article › Research › Peer-reviewed
  5. Atomic and electronic structure of twin growth defects in magnetite

    Gilks, D., Nedelkoski, Z., Lari, L., Kuerbanjiang, B., Matsuzaki, K., Susaki, T., Kepaptsoglou, D., Ramasse, Q., Evans, R., McKenna, K. & Lazarov, V. K., 15 Feb 2016

    Article in Scientific Reports

  6. Music Listening in Classical Concerts: Theory, Literature Review, and Research Program

    Wald-Fuhrmann, M., Egermann, H., O'Neill, K., Czepiel, A., Weining, C., Meier, D., Tschacher, W., Uhde, F., Toelle, J. & Tröndle, M., 27 Apr 2021

    Article in Frontiers in Psychology

  7. Systematic functional analysis of Leishmania protein kinases identifies regulators of differentiation or survival

    Baker, N., Catta-Preta, C. M. C., Neish, R., Sadlova, J., Powell, B., Alves-Ferreira, E. V. C., Geoghegan, V., Carnielli, J. B. T., Newling, K., Hughes, C., Vojtkova, B., Anand, J., Mihut, A., Walrad, P. B., Wilson, L. G., Pitchford, J. W., Volf, P. & Mottram, J. C., 23 Feb 2021

    Article in Nature Communications

  8. Book/Film/Article review › Research › Peer-reviewed
  9. Paper › Research › Peer-reviewed
  10. Achieving convolution-based reverberation through use of geometric acoustic modeling techniques

    Oxnard, S. & Murphy, D. T., 17 Sep 2012, p. 105. 4 p.

    Research output: Contribution to conferencePaperpeer-review

  11. Democratising Digitisation: Making History with Community Music Societies in Digitally Enabled Collaborations

    Cowgill, R. E., Dix, A., Bashford, C., Downie, J. S., Twidale, M., Reagan, M., Ridgwell, R. & McVeigh, S., 16 Oct 2020. 2 p.

    Research output: Contribution to conferencePaperpeer-review

  12. The control of early decay time on auralization results based on geometric acoustic modelling

    Foteinou, A. & Murphy, D. T., 18 Jun 2012.

    Research output: Contribution to conferencePaperpeer-review

  13. Abstract › Research › Peer-reviewed
  14. Automatische Vorhersage musik-induzierter Attributassoziationen im Kontext von Audio-Branding

    Egermann, H. W., Lepa, S., Herzog, M., Schoenrock, A. & Steffens, J., 2017.

    Research output: Contribution to conferenceAbstractpeer-review

  15. Chapter › Research
  16. Space In The Ambience: Is Ambient Music Socially Relevant?

    Field, A. E., 1 Sep 2019, Music Beyond Airports. Adkins, M. & Cummings, S. (eds.). Huddersfield: The University of Huddersfield, p. 21-50 29 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  17. Conference contribution › Research
  18. Development and Evaluation of an Interface with Four-Finger Pitch Selection

    von Coler, H., Treindl, G., Egermann, H. W. & Weinzierl, S., 11 May 2017, Proceedings of the 142nd AES Convention - Audio Engineering Society. Audio Engineering Society, p. 1-8 8 p. 9792

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  19. Predicting Musical Meaning in Audio Branding Scenarios

    Herzog, M., Lepa, S., Steffens, J., Schoenrock, A. & Egermann, H. W., 31 Jul 2017, Proceedings of the 25th Anniversary Conference of the European Society for Cognitive Science of Music, Ghent, Belgium, 31 July – 4 August 2017. Van Dyck, E. (ed.). ESCOM, p. 75-79 5 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  20. Smartphone-Assessed Movement Predicts Music Properties: Towards Integrating Embodied Music Cognition into Music Recommender Services via Accelerometer

    Irrgang, M., Steffens, J. & Egermann, H. W., 28 Jun 2018, Proceedings of the 5th International Conference on Movement and Computing, MOCO 2018. ACM Digital Library, 4 p. 31. (ACM Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  21. “A Good Algorithm Does Not Steal – It Imitates”: The Originality Report as a Means of Measuring When a Music Generation Algorithm Copies Too Much

    Yin, Z., Reuben, F., Stepney, S. & Collins, T., 2 Apr 2021, Artificial Intelligence in Music, Sound, Art and Design. EvoMUSART 2021. Springer, Vol. 12693. p. 360-375 16 p. 24. (Lecture Notes in Computer Science).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution