虚拟环境中使用人工神经网络生成实时双耳-房间脉冲响应的概念模型:最新进展

Daniel A. Sanaguano, José Lucio-Naranjo, R. Tenenbaum
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引用次数: 0

摘要

本工作旨在概述在文献中发表的用于BIRs生成的人工神经网络(ANN)方法,并揭示学术研究中的差距。文献综述表明,一些成功的研究使用人工神经网络方法生成BIRs,与传统方法相比,计算工作量减少了90%。然而,这些方法受到声源和双耳受体的固定对的限制,这意味着它们不考虑受体位置的动态变化。从这个意义上说,这项工作还引入了一个实时BIRs生成器的概念模型,该生成器使用一组人工神经网络来考虑移动的双耳受体。
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A Conceptual Model for real-time Binaural-Room Impulse Responses generation using ANNs in Virtual Environments: State of the Art
This work aims to give an overview of Artificial Neural Networks (ANN) approaches applied for BIRs generation published in the literature and to expose gaps in the academic research. The literature review shows that several successful studies are using ANNs approaches for BIRs generation with a reduction in the computational effort by up to 90% with respect to the Traditional Method. Nevertheless, these approaches are bounded by a fixed pair of a sound-source and binaural-receptor, meaning that they do not take into account dynamic variations in the position of the receptor. In this sense, this work also introduces a conceptual model for a real-time BIRs generator that considers a moving binaural-receptor using a set of Artificial Neural Networks.
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