Computational Analysis of Bowed-String Performance: From Motion Capture to (i) Sound Synthesis and (ii) Quantification of Interdependence in String Quartets

Tue, 10/16/2012 - 5:30pm - 6:50pm
CCRMA Classroom [Knoll 217]
Event Type: 
DSP Seminar
 Bowed strings are often regarded as among the most expressive musical instruments. The freedom that is available for the musician to continuously modulate input control parameters (e.g., bowing controls) when interpreting a piece constitutes an excellent opportunity to study instrumental performance. In this talk, we will cover some of our past and present work on computational analysis of bowed string performance. The talk will start by describing motion capture techniques used to acquire bowing control parameters from real performances. Next, the presentation will split into two parts. First, we will introduce a methodology for modeling and rendering bowing controls from a written score, followed by its application to sound synthetis via using rendered controls to drive a violin physical model. Second, we will present our ongoing work on string quartet performance analysis, including the construction of a research-focused multi-modal (video/audio/motion) repository of quartet performances, and some preliminary results on quantifying ensemble interdepence from acquired data.

Esteban Maestre was born in 1979. He received the B.Sc. and M.Sc. degrees in electrical engineering from Universitat Politecnica de Catalunya, Barcelona, Catalonia (Spain), in 2001 and 2003 respectively, and the Ph.D. degree in computer science and digital communication from Universitat Pompeu Fabra, Barcelona, Catalonia in 2009. From 2001 to 2006, he was a Lecturer at Universitat Politecnica de Catalunya. During 2003 and 2004, he carried out research at Philips Research Laboratories, Aachen, Germany. From 2004 to 2010, he was a researcher (Music Technology Group) and a lecturer (Department of Information and Communication Technologies) at Universitat Pompeu Fabra. In 2008, he was a visiting researcher at the Center for Computer Research in Music and Acoustics, Stanford University, where he is now a postdoctoral fellow working on gesture synthesis for automatic control of bowed string physical models. Concurrently, he is also with the Music Technology Group (Universitat Pompeu Fabra, Barcelona) where he directs research on ensemble performance analysis and supervises Ph.D. students funded by large-scale EU Comission research projects. His research interests include sound analysis/synthesis, gesture control of virtual musical instruments, performance modeling, and auditory-motor interaction.
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