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A Computational Model to Implement Binaural Synthesis in a Hard Real-Time Auditory Virtual Environment
Acoustics Australia ( IF 1.9 ) Pub Date : 2019-03-08 , DOI: 10.1007/s40857-019-00152-7
Fabián C. Tommasini , Oscar A. Ramos , Mercedes X. Hüg , Sebastián P. Ferreyra

There is a growing interest in the development and the evaluation of real-time auditory virtual environments (AVE). The implementation of this type of simulation system in general purpose computers is a still a challenge, and there are few studies that evaluated the perceived quality of synthetized sounds of simulated acoustic scenes. To evoke in the listener a correct image of the modeling space, the system must be dynamic and interactive. That is, it must respond to the changes in the acoustic scenario produced by the listener movement, in a perceptually acceptable time and with an update rate that guarantees continuity in the reproduction of sound events. Hard real-time systems ensure that a given task runs within a given time interval, providing deterministic behavior for applications with time restrictions. In the current article, a computational model to implement binaural synthesis in a hard real-time AVE is presented and evaluated. The computer model was implemented in an open-source auralization system. Measurements and real-time simulations on a university classroom were carried out to perform a reverberation time parameters validation and a system performance evaluation. Also, measured and simulated binaural soundtracks (composed from anechoic stimuli) were compared in terms of three selected perceptual attributes for subjective evaluations of static positions. The results showed that real-time performance was acceptable according to values previously reported in the literature and that computer prediction errors for the measured parameters were within the subjective difference limens. The computational model was able to generate an AVE with an acceptable overall perceptual quality.

中文翻译:

在硬实时听觉虚拟环境中实现双耳合成的计算模型

对实时听觉虚拟环境(AVE)的开发和评估越来越感兴趣。在通用计算机中实现这种类型的模拟系统仍然是一个挑战,很少有研究评估模拟声学场景的合成声音的感知质量。为了在听众中唤起正确的建模空间图像,系统必须是动态的和交互式的。也就是说,它必须在感知上可接受的时间内,并以保证声音事件再现连续性的更新速率,响应听众移动产生的声学场景的变化。硬实时系统确保给定任务在给定时间间隔内运行,从而为具有时间限制的应用程序提供确定性行为。在当前文章中,提出并评估了在硬实时AVE中实现双耳合成的计算模型。该计算机模型是在开源听觉化系统中实现的。在大学教室进行了测量和实时模拟,以执行混响时间参数验证和系统性能评估。此外,根据三种选定的感知属性,对测量和模拟的双耳声道(由消声刺激组成)进行了比较,以对静态位置进行主观评估。结果表明,根据先前在文献中报告的值,实时性能是可以接受的,并且所测参数的计算机预测误差在主观差异范围内。
更新日期:2019-03-08
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