Using wavelets to synthesize stochastic-based sounds for immersive virtual environments
Using wavelets to synthesize stochastic-based sounds for immersive virtual environments
复制标题
使用小波为沉浸式虚拟环境合成基于随机的声音
DOI：
10.1145/1101530.1101552
复制
发表时间：
2005
期刊：
影响因子：
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通讯作者：
T. Caudell
中科院分区：
文献类型：
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作者：
N. Miner;T. Caudell
随机的，或非音调的声音充满了我们的现实世界环境。人类几乎不断地听到随机声音，例如风、雨、马达声和不同类型的撞击声。由于它们在真实世界环境中的普遍性，因此将这些类型的声音包括在逼真的虚拟环境模拟中是很重要的。本文介绍了一种合成方法，使用小波建模随机为基础的声音。小波模型的参数化从一小组模型中产生各种相关的声音。结果是动态声音模型可以根据虚拟环境中的变化而变化。本文描述了声音合成的过程，几个已开发的模型，以及正在进行的感知实验，以验证声音合成的准确性。开发的模型和结果证明了这一概念，并说明了这种方法的潜力。
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.
DOI：
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发表时间：
1996-11
期刊：
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影响因子：
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作者：
Kees van de Doel;D. Pai
通讯作者：
Kees van de Doel;D. Pai