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Identification of perceived sound quality attributes of 360° audiovisual recordings in VR using a Free Verbalization Method

机译:使用免费言语化方法识别VR中360°视听记录的感知音质属性

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Recent advances in Virtual Reality (VR) technology have led to fast development of 3D binaural sound rendering methods that work in conjunction with head-tracking technology. As the production of 360° media grows, new subjective experiments that can appropriately evaluate and compare the sound quality of VR production tools are required. In this preliminary study, a Free Verbalization Method is employed to uncover auditory features within 360° audio-video experiences when paired with a 3-degrees-of-freedom head-tracking VR device and binaural sound over headphones. Subjects were first asked to identify perceived differences and similarities between different versions of audiovisual stimuli. In a second stage, subjects developed bipolar scales based on their verbal descriptions obtained previously. The verbal constructs created during the experiment, were then combined by the authors and experts into parent attributes by means of semantical analysis, similar to previous research on sound quality attributes. Analysis of the results indicated that there were three main groups of the sound quality attributes: attributes of sound quality describing the general impression of the 360° sound environment, attributes describing sound in relation to the head movement, and attributes describing audio and video congruency. Overall, the consistency of sound between different positions in 360° environment seems to create the new fundamental aspect of sound evaluation for VR and AR multimedia content.
机译:虚拟现实(VR)技术的最新进展已导致与头部跟踪技术结合使用的3D双耳声音渲染方法的快速发展。随着360°媒体制作的增长,需要进行新的主观实验,以恰当地评估和比较VR制作工具的音质。在这项初步研究中,当与3自由度头部跟踪VR设备和头戴式耳机的双耳声音搭配使用时,将采用“自由语言化方法”来发现360°音视频体验中的听觉特征。首先要求受试者识别不同版本的视听刺激之间的感知差异和相似性。在第二阶段,受试者根据先前获得的口头描述发展了双极量表。在实验过程中创建的言语结构,然后由作者和专家通过语义分析的方式组合为父属性,这与之前对音质属性的研究类似。对结果的分析表明,声音质量属性主要分为三类:描述360°声音环境总体印象的声音质量属性,描述与头部运动有关的声音的属性以及描述音频和视频一致性的属性。总体而言,在360°环境中不同位置之间的声音一致性似乎为VR和AR多媒体内容的声音评估创造了新的基本方面。

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