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训练对定位HoloLens生成的3D声音源的影响
Wonyeol Ryu1, Sukhan Lee2, Eunil Park3
1Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea.
Sensors (Basel, Switzerland)
|June 19, 2024
概括
虚拟现实 (VR) 音频模拟可以通过培训来改进. 将动感/姿势指导与视觉和声音线索相结合,可以显著提高用户在VR中的声音定位能力.
科学领域:
- 听觉感知和虚拟现实
- 人与计算机的交互
- 声学和信号处理
背景情况:
- 声音本地化对于听觉感知和沉浸式虚拟现实 (VR) 体验至关重要.
- 目前的VR音频模拟通常缺乏准确性,原因是头部相关传输函数 (HRTF) 的个体差异.
- 用户感知到的声音位置和VR平台生成的音频之间存在差异.
研究的目的:
- 在VR环境中调查声音源定位的准确性.
- 通过培训来确定用户是否可以适应VR产生的声音.
- 评估不同训练模式在改善VR中的声音定位方面的有效性.
主要方法:
- 使用微软HoloLens 2进行VR音频模拟.
- 收集了12名受试者的数据,在2周内进行了6次培训.
- 采用并比较了三个训练模式:多式错误,视觉和声音指导与动感/姿势指导.
主要成果:
- 在训练前和训练后的课程之间观察到声音本地化在统计学上显著的改善.
- 结合动感/姿势指导与视觉和声音线索的训练被证明是最有效的.
- 仅仅视觉错误指导在改善声音本地化的有效性是微不足道的.
- 在2周后,在所有训练模式中都没有发现显著的统计保留效应.
结论:
- 多模式训练,特别是结合动感/姿势指导,可以显著提高用户在VR中的声音定位.
- 仅仅是视觉错误指导不足以进行有效的培训.
- 需要进一步的研究,以了解在VR环境中学习的声音本地化技能的长期保留.
- 这些发现可以为更准确和个性化的VR音频系统的设计提供信息.
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