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

机译:使用自由言语化方法识别VR中360°视听录音的感知声音质量属性

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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)技术的最新进展导致3D双耳声音渲染方法的快速发展,与头部跟踪技术配合使用。随着360°培养基的生产,需要适当评估和比较VR生产工具的声音质量的新主观实验。在该初步研究中,当与耳机的3次自由度头跟踪VR器件和双耳声相配在耳机时,采用自由的言语化方法来揭示360°的音频 - 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之处。在第二阶段,受试者基于先前获得的口头描述开发了双极尺度。然后,在实验期间创建的口头构建,然后通过语义分析将作者和专家组合成父属性,类似于先前的音质属性研究。结果分析表明,声音质量属性的三个主要组:声音质量的属性描述了360°声音环境的一般印象,描述了与头部运动相关的声音的属性,以及描述音频和视频一致性的属性。总体而言,360°环境中不同位置之间的声音一致性似乎为VR和AR多媒体内容创造了声音评估的新基本方面。

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