Ten lectures on wavelets
Essential wavelets for statistical applications and data analysis
Essential wavelets for statistical applications and data analysis
A wavelet synthesis technique for creating realistic virtual environment sounds
Presence: Teleoperators and Virtual Environments
ACM SIGGRAPH 2009 papers
Influence of auditory and visual feedback for perceiving walking over bumps and holes in desktop VR
Proceedings of the 17th ACM Symposium on Virtual Reality Software and Technology
An investigation on temporal aspects in the audio-haptic simulation of footsteps
COST'10 Proceedings of the 2010 international conference on Multidisciplinary Aspects of Time and Time Perception
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Stochastic, or nonpitched, sounds fill our real-world environment. Humans almost continuously hear stochastic sounds, such as wind, rain, motor sounds, and different types of impact sounds. Because of their prevalence in real-world environments, it is important to include these types of sounds for realistic virtual environment simulations. This paper describes a synthesis approach that uses wavelets for modeling stochastic-based sounds. Parameterizations of the wavelet models yield a variety of related sounds from a small set of models. The result is dynamic sound models that can change according to changes in the virtual environment. This paper contains a description of the sound synthesis process, several developed models, and the on-going perceptual experiments for validating the sound synthesis veracity. The developed models and results demonstrate proof of the concept and illustrate the potential of this approach.