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Results: 186
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  • Honing, H. (2006). How to make a machine listen? Intensive Science (Sony Computer Science Laboratoy), 21.
  • Honing, H. (2006). On the growing role of observation, formalization and experimental method in musicology. Empirical Musicology Review, 1(1), 2-5. http://emusicology.org/v1n1/
  • Honing, H., & Ladinig, O. (2006). The effect of exposure and expertise on timing judgments: Preliminary results. In Proceedings of the International Conference on Music Perception and Cognition (pp. 80-85). University of Bologna.
  • Sadakata, M., Desain, P., & Honing, H. (2006). The Bayesian way to relate rhythm perception and production. Music Perception, 23(3), 269-288. https://doi.org/10.1525/mp.2006.23.3.269
  • Honing, H. (2006). Music and Cognition: What cognitive science can learn from music cognition. In Proceedings of the Annual Conference of the Cognitive Science Society (pp. 2655). Lawrence Erlbaum Associates.
  • Honing, H. (2006). The role of surprise in theory testing: Some preliminary observations. In Proceedings of the International Conference on Music Perception and Cognition (pp. 38-42). University of Bologna.
  • Honing, H. (2006). Evidence for tempo-specific timing in music using a web-based experimental setup. Journal of Experimental Psychology. Human Perception and Performance, 32(3), 780-786. https://doi.org/10.1037/0096-1523.32.3.780
  • Honing, H. (2006). Computational modeling of music cognition: a case study on model selection. Music Perception, 23(5), 365-376. https://doi.org/10.1525/mp.2006.23.5.365
  • Smith, L. M., & Honing, H. (2006). Evaluating and extending computational models of rhythmic syncopation in music. Proceedings of the International Computer Music Conference, 2006, 688-691.
  • Honing, H. (2005). Is there a perception-based alternative to kinematic models of tempo rubato? Music Perception, 23(1), 79-85. https://doi.org/10.1525/mp.2005.23.1.79
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