Bibliographischer Nachweis der mdw

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  • Cancino-Chacón, Carlos E.; Grachten, Maarten; Goebl, Werner; Widmer, Gerhard: Computational Models of Expressive Music Performance: A Comprehensive and Critical Review. In: Frontiers in Digital Humanities. Digital Musicology 5, S. 1-23 [online verfügbar: https://doi.org/10.3389/fdigh.2018.00025].
  • D'Amario, Sara; Schmidbauer, Harald; Roesch, Angi; Goebl, Werner; Niemand, Anna-Maria; Bishop, Laura: Interperformer coordination in piano-singing duo performances: phrase structure and empathy impact. In: Psychological Research 87, S. 2559-2582 [online verfügbar: https://doi.org/10.1007/s00426-023-01818-8].
  • Goebl, Werner; Bishop, Laura: Negotiating a Shared Interpretation During Piano Duo Performance. In: Music & Science 3 (2019), S. 1-18 [online verfügbar: https://doi.org/10.1177/2059204319896152].
  • Goebl, Werner: Empirically assessing rhythmic entrainment: a re-analysis of Ohriner’s “Listener-Performance Synchronicity in Recorded Performances of Chopin’s Mazurkas”. In: Empirical Musicology Review. 9 (2014). H. 2. S. 133-140 [online verfügbar: http://emusicology.org/article/view/4485/3819].
  • Hawley, Scott; Chatziioannou, Vasileios; Morrison, Andrew: Synthesis of Musical Instrument Sounds: Physics-Based Modeling or Machine Learning? In: Acoustics Today 16, S. 20-28 [online verfügbar: https://acousticstoday.org/wp-content/uploads/2020/02/Synthe...].
  • Kausel, Wilfried; Chatziioannou, Vasileios; Moore, Thomas; Gorman, Britta; Rokni, Michelle: Axial vibrations of brass wind instrument bells and their acoustical influence: Theory and simulations. In: Journal of the Acoustical Society of America 137 (2015). H. 6, S. 3149-3162 [online verfügbar: http://dx.doi.org/10.1121/1.4921270].
  • Weigl, David; Lewis, David; Crawford, Tim; Knopke, Ian; Page, Kevin R.: On providing semantic alignment and unified access to music library metadata. In: International Journal on Digital Libraries 20 (2019). H. 1, S. 25-47 [online verfügbar: https://doi.org/10.1007/s00799-017-0223-9].