Abstract: Propagation modeling by banded digital waveguides provides
an efficient way of modeling the dynamics of solid objects. It is a generalization
of digital waveguide filters to strongly dispersive systems. This model
can be applied to objects of higher dimensions by exploiting inherent symmetries
in the geometry. This way we developed efficient dynamical models for bar
percussion instruments, indian tabla drums and wine-glasses. Complex, non-linear
interactions are possible with these models and we demonstrate this by
bowing bars and wine-glasses and by excerting complex bending interactions
on the tabla model.
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Papers:
Abstract: Bowing bar percussion instruments is an increasing part of
the repertoire of modern composition and performance. Yet the system has
not been studied systematically. We performed experimental measurements
of bars of bar percussion instruments bowed by a double bass bow and by
a bowing machine. They examine the relationships between performance parameters
and perceptional parameters which are relevant for musical performance.
Most measurement results are in good qualitative agreement with the known
results of the bowed string. The spectrum of the bowed bar is observed
to be harmonic, independent of the harmonicity or inharmonicity of the
eigenfrequencies of the bar. But there are important distinctions. We found
that the effect of bowing force and velocity on the
fundamental frequency and the spectral content does not show up in
our measurements, suggesting that it is either very weak or independent.
Independence is suggested by numerical simulation.
Fig1: Experimental Setup of manual bowing. |
Fig 2: Multiple manual bows performed at increasing velocities. The resulting amplitude envelope increases with velocity. |
Papers:
Abstract: We investigate complex stroke patterns as performed on indian
tabla drums.
Fig 1: Ajay Kapur playing his tablas. |
Fig 2: A pitch-bending GA stroke performed on the larger bayan-drum. |
Papers: Work in progress.
Abstract: The goal of this work is to develop techniques for approximating
sounds that are generated by the motions of solid objects. Our methods
builds on
previous work in the field of physically based animation that use deformable
models to simulate the behavior of the solid objects. As the motions of
the objects are computed, their surfaces are analyzed to determine how
the motion will induce acoustic pressure waves in the surrounding medium.
The waves are propogated to the listener where the results are used to
generate sounds corresponding to the behavior of the simulated objects.
The simulations are compared to measurements of
actual objects and are found to be comparable.
Fig 1: Measured real vibraphone bar (left) and modeled virtual bar
(right).
Fig
2: Comparison of measured, theoretical and predicted modes of bar.
Papers:
Abstract: We extended musical genre classification schemes by extracting beat pattern data from music files. We utilize a wavelet decomposition scheme for this purpose.
Fig 1: Beat histogram of classical (left) versus rock music (right).
Papers:
Abstract: We develop single and multi-processor sound-servers to drive multiple speakers in conjuction with the large-scale display wall project and utilize the arrays of speakers to investigate soundfield reconstruction and other aspects of auditory display.
Fig
1: Basic architecture of the single-processor multi-channel sound server.
Papers: