VITA 2010

  Vienna Talk 2010 on Music Acoustics
"Bridging the Gaps"
      September 19–21


                 

List of Vienna Talk 2010 presenters

Amir, Noam (P,O)

Andermann, Martin (P)

Arzt, Andreas (O)

Bastos, Patricia Lopes (P)

Beauchamp, James Warren (O,O)

Bendl, Ingrid (P)

Bertsch, Matthias (P)

Bisesi, Erica Elisabetta (O)

Buen, Anders (O)

Campbell, Murray (O)

Cano, Estefania (P)

Carral, Sandra (P)

Carter, Stewart Arlen (O)

Chatziioannou, Vasileios (P)

Chick, John (O)

Curtit, Marthe (O)

Dalmont, Jean-Pierre (O)

Davidenkova, Ekaterina (O)

Demoucron, Matthias (O)

Doutaut, Vincent (P)

Dörfler, Monika (O)

Flossmann, Sebastian (O)

Fouilhe, Eric (O)

Fricke, Jobst P. (O)

Fritz, Claudia (O)

Gingras, Bruno (O)

Goebl, Werner (P)

Granzotto, Nicola (P)

Grosshauser, Tobias (O)

Guettler, Knut (O)

Hansen, Uwe J (O)

Kartofelev, Dmitri (P)

Kausel, Wilfried (P)

Kemp, Jonathan (O,O)

Klaus, Sabine Katharina (O)

Kostek, Bozena (O)

Lambrechts-Douillez, Jeannine (O)

Lohri, Angela (P)

Marchand, Sylvain (O)

Mayer, Alexander (P)

Moore, Thomas (O,O)

Morrison, Andrew (O)

Myers, Arnold (O)

Nederveen, Cornelis J (O)

Niedermayer, Bernhard (O)

Norman, Lisa (O)

Oehler, Michael (O)

Otcenasek, Zdenek)

Pyle, Robert W. (O,O)

Reuter, Christoph (O)

Richardson, Bernard (P,O)

Rose, Maria (O)

Rossing, Thomas D. (O,O)

Sanchez, Monica (P)

Schoonderwaldt, Erwin (O)

Sharp, David (O)

Siddiq, Sadjad (P)

Skala, Jan (P)

Smith, Richard (O)

Sundberg, Johan)

Taylor, Crissman (O)

Tronchin, Lamberto (O)

Tsai, Pei Ju (P)

Vereecke, Hannes William (P)

Vergez, Christophe (O)

Widmer, Gerhard (O)

Presentation type: Oral / Keynote

On the use of intelligent computational methods for music performance analysis

The presentation gives a broad overview of some of our research on empirical, computer-based piano performance analysis, with a special focus on techniques and methods that computer science can contribute to the quantitative study of expressive performance. These comprise, among other things, (semi-)automatic measuring methods that extract aspects such as timing from audio recordings; algorithms for aligning different performances for purposes of comparison or annotation; animated visualisations of expressive parameters; algorithms that discover patterns in performance-related data; and computer programs that attempt to model and even predict certain (low-level) aspects of performance. I will show some examples of these methods in action, and will also briefly discuss the potential use of such technology in music-didactic contexts.

Worland, Randy (O)

Ziegenhals, Gunter (O)

van der Linden, Janet (O)

Banner Pictures: (c) PID/Schaub-Walzer